基于信息实体模拟的火电运维项目财务决策仿真研究
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摘要
随着电力体制改革方向的明朗和深入,发电市场将发生明显的变化,在“厂网分开,竞价上网”改革的形式下,火电运维项目市场竞争将非常激烈。改革以后的火电运维项目经营模式如何定位、电价如何确定、市场模式如何建立、如何争取电力市场确定以后的竞争,有实践经验的高级管理人员如何进行决策,诸多问题已经摆到了管理者的面前。要解决这些问题,仅靠经验,已不能满足眼前的发展需要,然而,利用现在的科技发展成果,展开各种方式的仿真研究,既省钱省力,又能满足现实的急需。因此在我国展开火电运维项目财务决策仿真的研究是客观的需要,也是现实的选择。研究科学的、合理的、适用的火电运维项目财务决策仿真的理论、方法以及开发相应的软件系统,是当今火电运维项目财务决策仿真理论研究的一个重要核心问题,也是目前国际上管理科学研究的前沿问题之一,对提高我国火力发电公司管理人员的决策水平、促进我国电力工业的发展有着重大的理论价值和实用价值。
本文将火力发电项目分为三个子项目,包括火力发电设计项目、火力发电工程建设项目以及火力发电运行维护项目即火电运维项目。本文主要针对火电运维项目的财务决策进行研究。
论文通过分析当前国内外企业经营发展模拟决策系统的研究现状,在进行文献研究、理论研究和实地调研的基础上,分析了对火电运维项目财务决策仿真理论与实现研究的必要性,介绍了当前学术界关于火电运维项目财务决策仿真理论研究的状况及不足,提出了火电运维项目财务决策仿真的概念和研究内容,分析了影响火电运维项目财务决策的主体、客体、媒体因素；利用粗糙集理论构建了火电运维项目财务决策仿真指标体系；设计了火电运维项目财务决策仿真的总体框架、具体框架和数据库。尤其是在决策模拟、系统论等基本理论的指导下,为了实现信息实体化的目标,本文研发了火电运维项目财务决策仿真实物沙盘系统。以容量和电量订单变动为手段,建立了虚拟的由垄断到完全竞争的“电力及电煤交易中心”。用实物形态表现出了电力生产的过程。在研发成功的火电运维项目财务决策仿真实物沙盘系统的基础上,首次利用决策模拟原理开发具有火电运维项目特色的、适用于火力发电公司高级管理人员决策的软件系统。建立了火电运维项目财务决策仿真信度和效度指标体系,对火电运维项目财务决策仿真进行了信度和效度验证。
本文主要创新点：
1.提出了火电运维项目财务决策仿真的概念,利用粗糙集原理对火电运维项目的决策主体、客体、媒体的指标进行属性约简,构建了火电运维项目财务决策仿真的指标体系。
2.给出了火电运维项目管理人员进行财务决策的辅助决策方法。为火电运维项目管理人员在电力交易、电煤交易以及投资等重大财务决策提供参考,使其决策得到优化。
3.建立了虚拟的“电力交易中心”与“电煤交易中心”。以实物形态模拟出了电力采购与电煤采购的市场化交易,并研发出了火电运维项目财务决策的实物模拟和软件仿真系统。
4.在改进的熵权法原理的基础上,建立了火电运维项目财务仿真决策系统的经济效益综合评价模型,开发了火电运维项目财务仿真决策经济效益综合评价系统。
With clear and depth direction of electric power system reform, electricity generation market will undergo significant changes. In the form of "separation between the firm and the net, bidding on-line" reform, the competition of thermal power operation and maintenance projects'market will be fierce. Many problems have been put to the front of the managers, such as how to position business model, how to determine the price, how to establish market mode, how to determine the future electricity market competition and how practical experience of senior management personnel to make decisions. To solve these problems, only relying on experience, can not meet the development needs of the immediate, however, the using of current technological development, expanding the variety of ways in the simulation study not only saves money and effort, but also meets the real need. Therefore, a study of financial decision-making simulation of thermal power operation and maintenance projects is an objective needs, but also a realistic option. Research the scientific, reasonable and suitable thermal power company's business development decision-making theory, method and development of corresponding software system is an important core problem of the current thermal power company decision theory research and one of the frontier problems of Management Science research in the world. This research can improve thermal power company managers'personnel decision-making level, promote the development of our country's electric power industry and have important theoretical value and practical value.
This paper divided thermal power generation projects into three sub-projects, including design projects, engineering construction projects and operation and maintenance projects. This paper mainly studies thermal power operation and maintenance projects' financial decisions.
Based on literature research, theoretical research and field investigation, through analysis of the current status of domestic and international business development decision-making simulation system, this paper analyses the development of thermal power company management decision-making simulation theory and the necessity of the research on the implementation. This paper describes the conditions and inadequate research of the academic theories about thermal power operation and maintenance projects decision-making simulation theory and proposes thermal power operation and maintenance projects' decision-making simulation concept and research content. This paper also analyzes the factors of subject, object, media that could influence thermal power company developments' decision and uses rough set theory to establish thermal power operation and maintenance projects' decision-making simulation index system. This paper designs overall framework, specific framework and databases of thermal power operation and maintenance projects' decision-making simulation system. Especially under the guidance of the decision-making simulations, systems theory and other basic theory, in order to achieve the goal of information entities, the paper developed a kind sandbox system of thermal power operation and maintenance projects' decision-making simulation. Taking the capacity and power orders changes as the means, this paper establishes virtual "electricity trading center" from monopoly to complete competition. The real morphology shows the process of electric power production. On the basis of successfully developed thermal power plants business decision simulation sand table system, this paper uses the decision simulation theory for the first time to develop the decision-making simulation software system that have the characteristics of thermal power plants and apply to thermal power plant managers. Establish reliability and validity index system, verify the reliability and and validity of thermal power operation and maintenance projects' decision-making simulation.
Main innovation of this paper:
1. Proposes the concept of thermal power operation and maintenance projects' decision-making simulation, using rough set principle attribute reduction indicators of thermal power operation and maintenance projects decision-making body, object, media. Construct indicator system of thermal power operation and maintenance projects'decision-making simulation.
2. Gives assistant financial decision methods for thermal power operation and maintenance projects' managers. To provide a reference for thermal power operation and maintenance projects' managers in major financial decisions such as:electricity trading, coal trading and investment, in order to make decisions optimized.
3. Establishes a virtual "power trading center" and "coal trading center". Simulate the market trading of power procurement and coal procurement by physical form, and developes a physical modeling and software simulation system of thermal power operation and maintenance projects'decision-making.
4. On the basis of an improved method of Entropy Weight, this paper establishes a comprehensive economic assessment model of thermal power operation and maintenance project decision-making simulation model, develops a thermal power operation and maintenance project decision-making simulation system.
本文将火力发电项目分为三个子项目,包括火力发电设计项目、火力发电工程建设项目以及火力发电运行维护项目即火电运维项目。本文主要针对火电运维项目的财务决策进行研究。
论文通过分析当前国内外企业经营发展模拟决策系统的研究现状,在进行文献研究、理论研究和实地调研的基础上,分析了对火电运维项目财务决策仿真理论与实现研究的必要性,介绍了当前学术界关于火电运维项目财务决策仿真理论研究的状况及不足,提出了火电运维项目财务决策仿真的概念和研究内容,分析了影响火电运维项目财务决策的主体、客体、媒体因素；利用粗糙集理论构建了火电运维项目财务决策仿真指标体系；设计了火电运维项目财务决策仿真的总体框架、具体框架和数据库。尤其是在决策模拟、系统论等基本理论的指导下,为了实现信息实体化的目标,本文研发了火电运维项目财务决策仿真实物沙盘系统。以容量和电量订单变动为手段,建立了虚拟的由垄断到完全竞争的“电力及电煤交易中心”。用实物形态表现出了电力生产的过程。在研发成功的火电运维项目财务决策仿真实物沙盘系统的基础上,首次利用决策模拟原理开发具有火电运维项目特色的、适用于火力发电公司高级管理人员决策的软件系统。建立了火电运维项目财务决策仿真信度和效度指标体系,对火电运维项目财务决策仿真进行了信度和效度验证。
本文主要创新点：
1.提出了火电运维项目财务决策仿真的概念,利用粗糙集原理对火电运维项目的决策主体、客体、媒体的指标进行属性约简,构建了火电运维项目财务决策仿真的指标体系。
2.给出了火电运维项目管理人员进行财务决策的辅助决策方法。为火电运维项目管理人员在电力交易、电煤交易以及投资等重大财务决策提供参考,使其决策得到优化。
3.建立了虚拟的“电力交易中心”与“电煤交易中心”。以实物形态模拟出了电力采购与电煤采购的市场化交易,并研发出了火电运维项目财务决策的实物模拟和软件仿真系统。
4.在改进的熵权法原理的基础上,建立了火电运维项目财务仿真决策系统的经济效益综合评价模型,开发了火电运维项目财务仿真决策经济效益综合评价系统。
With clear and depth direction of electric power system reform, electricity generation market will undergo significant changes. In the form of "separation between the firm and the net, bidding on-line" reform, the competition of thermal power operation and maintenance projects'market will be fierce. Many problems have been put to the front of the managers, such as how to position business model, how to determine the price, how to establish market mode, how to determine the future electricity market competition and how practical experience of senior management personnel to make decisions. To solve these problems, only relying on experience, can not meet the development needs of the immediate, however, the using of current technological development, expanding the variety of ways in the simulation study not only saves money and effort, but also meets the real need. Therefore, a study of financial decision-making simulation of thermal power operation and maintenance projects is an objective needs, but also a realistic option. Research the scientific, reasonable and suitable thermal power company's business development decision-making theory, method and development of corresponding software system is an important core problem of the current thermal power company decision theory research and one of the frontier problems of Management Science research in the world. This research can improve thermal power company managers'personnel decision-making level, promote the development of our country's electric power industry and have important theoretical value and practical value.
This paper divided thermal power generation projects into three sub-projects, including design projects, engineering construction projects and operation and maintenance projects. This paper mainly studies thermal power operation and maintenance projects' financial decisions.
Based on literature research, theoretical research and field investigation, through analysis of the current status of domestic and international business development decision-making simulation system, this paper analyses the development of thermal power company management decision-making simulation theory and the necessity of the research on the implementation. This paper describes the conditions and inadequate research of the academic theories about thermal power operation and maintenance projects decision-making simulation theory and proposes thermal power operation and maintenance projects' decision-making simulation concept and research content. This paper also analyzes the factors of subject, object, media that could influence thermal power company developments' decision and uses rough set theory to establish thermal power operation and maintenance projects' decision-making simulation index system. This paper designs overall framework, specific framework and databases of thermal power operation and maintenance projects' decision-making simulation system. Especially under the guidance of the decision-making simulations, systems theory and other basic theory, in order to achieve the goal of information entities, the paper developed a kind sandbox system of thermal power operation and maintenance projects' decision-making simulation. Taking the capacity and power orders changes as the means, this paper establishes virtual "electricity trading center" from monopoly to complete competition. The real morphology shows the process of electric power production. On the basis of successfully developed thermal power plants business decision simulation sand table system, this paper uses the decision simulation theory for the first time to develop the decision-making simulation software system that have the characteristics of thermal power plants and apply to thermal power plant managers. Establish reliability and validity index system, verify the reliability and and validity of thermal power operation and maintenance projects' decision-making simulation.
Main innovation of this paper:
1. Proposes the concept of thermal power operation and maintenance projects' decision-making simulation, using rough set principle attribute reduction indicators of thermal power operation and maintenance projects decision-making body, object, media. Construct indicator system of thermal power operation and maintenance projects'decision-making simulation.
2. Gives assistant financial decision methods for thermal power operation and maintenance projects' managers. To provide a reference for thermal power operation and maintenance projects' managers in major financial decisions such as:electricity trading, coal trading and investment, in order to make decisions optimized.
3. Establishes a virtual "power trading center" and "coal trading center". Simulate the market trading of power procurement and coal procurement by physical form, and developes a physical modeling and software simulation system of thermal power operation and maintenance projects'decision-making.
4. On the basis of an improved method of Entropy Weight, this paper establishes a comprehensive economic assessment model of thermal power operation and maintenance project decision-making simulation model, develops a thermal power operation and maintenance project decision-making simulation system.
引文
[1]Liu Shuliang. Optimum Selection on the Mode of Pumped Storage Power Stations with Fuzzy Patten Recognition[J]. Institute of Scientific and Technical Information of China.2008,12:23-28
[2]刘树良.企业沙盘模拟决策人机对抗系统[M].河北教育出版社.2009
[3]Patterson, Robert Earl. Training Intuitive Decision Making in a Simulated Real-world Environment[J]. Human Factors.2012,55(2):333-345
[4]Neely P, Tucker J. Case Study: An Examination of the Decision Making Process for Selecting Simulations for an Online MBA Program[J]. Education and Training. 2012,55(2):23-34
[5]Brezillon Patrick, Aroua Anissa. Representation of Real-time Decision-making by Contextual Graphs based Simulation[J]. Journal of Decision Systems.2012, 22(1):28-42
[6]Greenberg Michael, Lioy, Paul. Passenger Rail Security, Planning, and Resilience: Application of Network, Plume and Economic Simulation Models as Decision Support Tools[J]. Risk Analysis.2012,14(23):120-133
[7]Melouk Sharif H, Freeman. Simulation Optimization-based Decision Support Tool for Steel Manufacturing[J]. International Journal of Production Economics.2012, 141(1):269-276
[8]Sencer Asli, Ozel. A Simulation-based Decision Support System for Workforce Management in Call Centers[J]. Simulation.2012,89(4):481-497
[9]刘耀.论决策支持系统的应用现状和发展前景[J].计算机与现代化,2000,2：29-35
[10]宋福根,肖利华.现代企业管理人才经营决策能力培养仿真系统[J].管理科学学报.1998,1(3)：89-96
[11]刘爱贞,宋福根,高凤荣.基于模型的订货优化决策支持系统研究[J].决策与决策支持系统.1997,7(1)：64-68
[12]马彪,宋福根.现代企业经营决策仿真系统的开发与应用[J].中国纺织大学学报.1998,24(4)：24-28
[13]刘树良.企业沙盘模拟决策理论与实战[M].电子工业出版社.2008
[14]尹铁岩等.管理决策模拟方法及其教学实践[J].嘉兴学院学报.2005,17(1)：117-118
[15]薛长青.管理决策的模型结构与系统模拟技术的应用[J].北京工商大学学报(社会科学版).2001,16(6)：23-25
[16]胡玉立.李东贤市场预测与管理决策[M].中国人民大学出版社.1996
[17]孙红靖,臧其刚.对管理科学决策模拟的认识与思考[J].科技情报开发与经济.2006,16：21-26
[18]赵丽娟.企业持续竞争优势的内在机理[J].软科学.2006,20：34-37
[19]方关琪,张树人.复杂系统建模与仿真[M].中国人民大学出版社.2011
[20]姬长荣.不确定型决策分析方法在教学中的一些应用[J].长治学院学报.2008.5：51-56
[21]施飞峙.企业经营决策沙盘模拟”教学对大学生创业教育的作用[J].会计之友.2009,12：65-71
[22]Ul'yanov M.V, Alekseenko A.S. Probabilistic Approach to Information Apprehensibility Quantitative Measure Definition for Computer Algorithms[J]. Automation and Modern Technologies.2009,10:24-32
[23]Jumarie, Guy, Neelis M.L. Definition and Applications of an Information Measure which Takes Account of Symbols [C]. Annales des Telecommunications/Annals of Telecommunications.2004,39(11):523-537
[24]Stanic J. Term and definition of measuring in information theory[J]. Tehnika.1984,39(7):943-948
[25]Zhang Qiansheng, Liu Fuchun, Wu Lihua. Information Entropy, Similarity Measure and Inclusion Measure of Intuitionalist Fuzzy Sets[C]. Information Computing and Applications-Third International Conference. ICICA 2012, Proceedings.2012,307(1):392-398
[26]Wyner A.D. A definition of Conditional Mutual Information for Arbitrary Ensembles[J]. Information and Control.1978,38(1):51-59
[27]邬规.信息哲学——理论、体系、方法[M].商务印书馆.2005
[28]李国武.关于信息概念的研究述评[J].重庆邮电大学学报.2012,1：58-63
[29]Boon J.A. Information Economy in South Africa: Definition and Measurement[J]. Journal of Information Science.1994,20(5):334-347
[30]Lorenzo J, Hernandez M, Mendez J. GD:a Measure based on Information Theory for Attribute Selection[C]. Progress in Artificial Intelligence-IBERAMIA 98.6th Ibert-American Conference on AI. Proceedings.1998:124-135
[31]Ray, A.K,Khan, M.S.U. An Approach to Measure Information Content Conveyed by a Stock Price Index[J]. Op search.2004,41(4):209-222
[32]Claude Elwood Shannon. A Mathematical Theory of Communication [M]. University of Illinois Press.1948,27(1):379-423
[33]Kent J.T. Information Gain and a General Measure of Correlation[J]. Biometrika. 1949
[34]钟义信.信息科学原理[M].福建人民出版社.1988
[35]闵家胤.信息：定义、起源和进化[J].系统辩证学学报.1997,6：18-22
[36]邓宏,薛惠锋.试谂信息栅念的分类定义[J].西安电子科技大学学报.2002,1：84-88
[37]鲁晨光.广义信息论[M].中国科学技术大学出版社
[38]郭晓军,宋朝霞,汪玥.对信息系统边界定义的探讨[J].中国集体经济.2008,4：49-50
[39]单承伟.信息咨询概念探析[J].科技情报开发与经济.2010,6：83
[40]马玉琴.信息构建研究综述[J].图书馆学刊,2006(6)：11-12
[41]姚文艺.黄河河道实体模拟若干设计理论及其应用[D].河海大学.2005
[42]张瑞云.织物设计与三维实体着装模拟系统研究[D].东华大学.2002
[43]刘树良.企业沙盘模拟对抗方法浅析[J].财务与会计.2006,7：18-22
[44]张圣利.ERP沙盘模拟课程教学的SWOT分析[J].商业会计.2011,4(11)：76-77
[45]梁邵华.ERP环境下沙盘模拟会计实训浅析[J].财会通讯.2008,9：94
[46]何丽婷.浅谈ERP沙盘模拟实训课程实施及其评价[J].河北企业.2011,4：70-71
[47]王鹏.企业经营管理沙盘模拟训练系统的设计与实现[D].山东大学,2008
[48]德鲁克(美)著,齐若兰译.管理的实践[M].机械工业出版社,2006
[49]刘红勇,冯萍萍.某电站引水系统工程沙盘模拟计划研究[J].四川水利.2010,5：68-70
[50]张丽.沙盘模拟实验——企业培训的新方式[J].武汉冶金管理干部学院学报.2007,17(1)：37-39
[51]Xiang Fu, Doboli S, Impagliazzo J. Work in progress-A Sandbox Model for Teaching Entrepreneurship[C].2010 IEEE Frontiers in Education Conference. 2010:11-18
[52]Renzel, Dominik, Klamma, Ralf. From Micro to Macro:Analyzing Activity in the ROLE Sandbox[C]. ACM International Conference Proceeding Series. 2012:250-254
[53]Santhanam S, Elango P. Deploying Virtual Machines as Sandboxes for the Grid[J]. WORLDS'05. Second Workshop on Real, Large Distributed Systems. 2005:7-12
[54]Zhong Qun, Edwards Nigel. Operating System Support for the Sandbox Method and Its Application on Mobile Code Security[J]. HP Laboratories Technical Report.1997:1-11
[55]Keahey K, Doering K. From Sandbox to Playground:Dynamic Virtual Environments in the Grid[C]. Proceedings. Fifth IEEE/ACM International Workshop on Grid Computing.2004:34-42
[56]Liu Jinguang,Wu Zhifei. The Study of Military Conceptual Model based on Tactical Decision-making Simulation[J]. Advanced Materials Research.2012, 605(1):2333-2336
[57]Bennett, Casey C. Artificial Intelligence Framework for Simulating Clinical Decision-making: A Markov Decision Process Approach[J]. Artificial Intelligence in Medicine.2012,57(1):9-19
[58]Yu H, Solvang WD. A Multi-objective Decision Support System for Simulation and Optimization of Municipal Solid Waste Management System[C].3rd IEEE International Conference on Cognitive Infocommunications.2012:193-199
[59]Shelankov O.E. Applying the Simulation for Support Decision Making at Planning of Bringing Up the Material Means[C]. Problems of Radioelectronics. 2012(1):129-136
[60]李建臣,李一凡.基于HLA的海上援救模拟训练系统[J].计算机仿真.2004,22(3)：141-144
[61]王剑,王红卫.基于HLA的团队仿真训练功能框架研究[J].系统仿真学报.2010,22(5)：1164-1169
[62]张志良,楚丰,游大海等.一种基于CORBA和Agent技术的电力市场仿真平台的研究[J].电力系统及其自动化学报.2002,14(4)：29-31
[63]刘永,郭怀成,范英英等.湖泊生态系统动力学模型研究进展[J].应用生态学报.2005,16(6)：1169-1175
[64]张力菠,韩玉启,陈杰等.供应链管理的系统动力学研究综述[J].系统工程.2005,23(6)：8-15
[65]王仁平.财务信息的决策有用性研究[D].西南财经大学,2008
[66]张先治.基于管理者决策与控制的财务分析——企业内部报告的财务分析应用[J].财会月刊.2008,8：32-36
[67]叶楠.航运企业财务决策中的风险分析与管理决策[D].上海海事大学,2006
[68]罗飞,王竹泉.论国有企业的财务决策机制[J].财经论丛.2003(3)：64-71
[69]陈学萍,程景云,徐安宁.基于数据仓库的企业财务决策支持系统分析与设计[J].计算机辅助工程.2004(1)：7-12
[70]迟晓鹏.财务分析与决策支持系统的设计与开发[D].电子科技大学,2012
[71]张睿,吴洪波.基于ERP的财务决策支持系统的构架探析[J].科技与管理.2009,11(1)：65-67
[72]张凤霞.新形势下电厂财务影响问题分析[J].现代商业.2012,23：137
[73]张颖.关于目前企业财务管理的几点认识——以某生物质电厂为例[J].中国总会计师.2011,10：100-101
[74]邹文丽.电力新技术环境下电厂财务管理创新研究[J].现代经济信息.2012,24：229-230
[75]Siering, Michael. The Role of Misbehavior in Efficient Financial Markets: Implications for Financial Decision Support[J]. Lecture Notes in Business Information Processing.2012,135:42-58
[76]Song Bao Quan, Yuan Ying. Selection-decision of Multi-Financial-Production of Small-medium Real Estate Enterprises[J]. Journal of Northeastern University. 2013,34(4):598-601
[77]Lucko Gunnar. Supporting Financial Decision-making Based on Time Value of Money with Singularity Functions in Cash Flow Models[J]. Construction Management and Economics.2013,31(3):238-253
[78]Martin J, Setzer T. Decision Support Services Based on Dynamic Digital Analyses-Quality Metrics for Financial Planning Processes[J]. Proceedings of the 2012 Annual SRII Global Conference (SRⅡ).2012:130-138
[79]Arnold V, Bedard J C. The Impact of Tagging Qualitative Financial Information on Investor Decision Making: Implications for XBRL[J]. International Journal of Accounting Information Systems.2012,13(1):2-20
[80]Giulioni G, Bucciarelli E. Exploring Firms Financial Decisions by Human and Artificial Agents. Towards an Assessment of Minsky's Financial Instability Hypothesis[C]. Proceedings of the 4th International Conference on Agents and Artificial Intelligence.2012:184-189
[81]Strang, Kenneth David. Applied Financial Non-linear Programming Models for Decision making[J]. International Journal of Applied Decision Sciences.2012, 5(4):370-395
[82]Kaufmann L, Carter C R. The Impact of Individual De-biasing Efforts on Financial Decision Effectiveness in the Supplier Selection Process[J]. International Journal of Physical Distribution & Logistics Management.2012, 42(5):411-433
[83]Ben-Assuli Ofir. Assessing the Perception of Information Components in Financial Decision Support Systems[J]. Decision Support Systems.2012, 54(1):795-802
[84]Liu Shuliang. Numerical Simulation of Cost of Sales in Thermal Power Plants based on System Dynamics[J]. International Journal of Applied Mathematics and Statistics.2013,45(9):165-173
[85]Yee Leung, Fischer, M.M. A Rough Set Approach for the Discovery of Classification Rules in Interval-valued Information Systems[J]. International Journal of Approximate Reasoning,2008,47(2):223-246
[86]Yee Leung, Tung Fung, Ju-Sheng Mi. A Rough Set Approach to the Discovery of Classification Rules in Spatial Data[J]. International Journal of Geographical Information Science.2007,21(9):1033-1058
[87]Dembczynski K, Greco S, Slowinski R. Rough Set Approach to Multiple Criteria Classification with Imprecise Evaluations and Assignments[J]. European Journal of Operational Research.2009,32(11):167-189
[88]Yang X B, Yu D J, Yang J Y, et al. Dominance-based Rough Set Approach to Incomplete Interval-valued Information System[J]. Data and Knowledge Engineering.2009,4(16):45-69
[89]Tuan-Fang Fan, Churn-Jung Liau, Duen-Ren Liu. Dominance-based Fuzzy Rough Set Analysis of Uncertain and Processibility Data Tables[J]. International Journal on Approximate Reasoning.2011,6(9):87-112
[90]郭翠峰.基于模糊粗糙集理论的区间信息系统知识约简方法研究[D].西华大学.2012
[91]张文修.粗糙集理论与方法[M].科学出版社.2001
[92]冯林,李天瑞,余志强.连续值属性决策表中的可变精度粗糙集模型及属性约简[J].计算机科学.2010,9：47-52
[93]付昂,王国胤,胡军.基于信息熵的不完备信息系统属性约简算法[J].重庆邮电大学学报.2008,5：586-592
[94]马若微.基于粗糙集与信息熵的上市公司财务困境预警指标的确立[J].当代经济科学.2005,27(2)：45-51
[95]滕书华,周石琳.基于条件熵的不完备信息系统属性约简算法[J].国防科技大学学报.2010,32(2)：90-94
[96]程岩,黄梯云.信息系统中一种面向粗糙集的数据挖掘方法[J].情报学报.2001,20(1)：90-99
[97]白俊卿.基于粗糙集理论的不完备信息系统下的知识获取方法研究[D].重庆大学.2006
[98]朱六兵,唐德波,杨斌.基于粗糙集信息观的决策表属性约简方法[J].信息技术.2006,1：46-49
[99]管涛,冯博琴.模糊目标信息系统上的知识约简方法[J].软件学报.2004,15(10)：1470-1478
[100]Nayak, Rudra Kalyan, Mishra, Debahuti Das. Clustering and Classifying informative attributes using rough set theory[C]. ACM International Conference Proceeding Series.2012:118-123
[101]Foithong S, Pinngern O, Attachoo B. Feature Subset Selection Wrapper based on Mutual Information and Rough Sets[J]. Expert Systems with Applications. 2012,39(1):574-584
[102]Zhi Tao, Hui-jun Dai. Rough Set Model based on Set Pair Analysis in Incomplete Information System[J]. Journal of Computer Applications.2008, 27(7):1684-1691
[103]Guoyin Wang, Lihe Guan, Feng Hu. Rough Set Extensions in Incomplete Information Systems[J]. Frontiers of Electrical and Electronic Engineering in China.2008,3(4):399-405
[104]Suraj, Z. Reconstruction of Cooperative Information Systems Under Cost Constraints:a Rough Set Approach[J]. Information Sciences.2008,111(1):273-291
[105]Qi Jianxun, LiuShuliang, Wang Juanli. Fuzzy Comprehensive Evaluation Based on Set Pair Analysis of the Rural Power Grid Planning Project [C]. Information Technology Applications in Industry,Computer Engineering and Materials Science.2013,756:4144-4148
[106]Qi Jianxun, LiuShuliang, Sun Zhaoying. Study on Post-Evaluation for the Power Transmission and Transformation Project Based on AHP-Fuzzy Comprehensive [C]. Information Technology Applications in Industry,Computer Engineering and Materials Science.2013,756:4149-4154
[107]Terje Aven, BJornar Heide. Reliability and Validity of Risk Analysis[J]. Reliability Engineering & System Safety.2009,94(11):1862-1868
[108]Zhen Sun, Hanhui Chen. The Chinese Version of the Addiction Severity Index (ASI-C):Reliability, validity, and Responsiveness in Chinese Patients with Alcohol Dependence[J]. Alcohol.2012,46(8):777-781
[109]张庆文,马苓.大学绩效评估指标系统的信度与效度分析[J].河北大学学报.2009,34(3)：88-92
[110]王秀华.业绩管理信度与效度影响因素研究[D].中国海洋大学,2004
[111]周萍.儿童认知障碍诊治仪ZM3.1-Y信度和效度的检测[D].暨南大学,2010
[112]陈春芬.当前计算机类课程网络考试系统的信度和效度研究[D].云南师范大学,2009
[113]Jessie C. Janssen Lan Le-Ngoc. Intratester Reliability and Validity of Concentric Measurements Using a New Hand-Held Dynamometer[J]. Archives of Physical Medicine and Rehabilitation.2009,90(9):1541-1547
[114]Carolyn C Preston, Andrew M Colman. Optimal Number of Response Categories in Rating Scales:Reliability, Validity, Discriminating Power, and Respondent Preferences [J]. Acta Psychologica.2000,104(1):1-15
[115]Pirjo Kejonen, Kari Kauranen. Reliability and Validity of Standing Balance Measurements with a Motion Analysis System[J]. Physiotherapy.2002, 88(1):25-32
[116]廖列法,杨姝,王刊良.信息系统实证研究信度效度检验研究[J].科学学与科学技术管理.2008,2：37-41
[117]马磊.上海高校自主招生考试的信度和效度分析[J].上海交通大学学报.2011(12)：1829-1835
[118]Vicky Pardo, Dale Knuth. Validity, Reliability and Minimum Detectable Change of the Maximum Step Length Test in People with Stroke[J]. Journal of the Neurological Sciences.2012,325(1):74-78
[119]Moruf L. Adelekan, Simon Gowers. Reliability and Validity of the Westminster Substance Use Questionnaire Among Lancashire Adolescents[J]. Drug and Alcohol Dependence.1994,34(3):191-199
[120]张志颖,张子军,康凯,等.信息系统能力模型的信度与效度分析[J].情报杂志.2009,5：78-80
[121]T Long, M Johnson, Rigour. Reliability and Validity in Qualitative Research [J]. Clinical Effectiveness in Nursing.2000,4(1):30-37
[122]Wilfried Admiraal, Mark Hoeksma. Assessment of Teacher Competence Using Video Portfolios:Reliability, Construct Validity, and Consequential Validity[J]. Teaching and Teacher Education.2011,27(6):1019-1028
[123]David Denyer,Elmar Kutsch. Exploring Reliability in Information Systems Programmes [J]. International Journal of Project Management.2011, 29(4):442-454
[124]Gavin T.L. Brown, Kath Glasswell. Accuracy in the Scoring of Writing: Studies of Reliability and Validity using a New Zealand Writing Assessment System[J]. Assessing Writing.2004,9(2):105-121
[125]邸颖娜.语言测试中的效度问题[J].职业技术.2009,7：86
[126]黄战锋,董燕,齐建林,等.歼击机飞行员“基本认知能力测验”信效度分析[J].空军总医院学报.2009,4：172-173
[127]谢贤春.英语作文自动评分及其效度、信度与可操作性探讨[J].江西师范大学学报.2010,2：136-140
[128]康德智,谢波,郑建民,等.计算机辅助认知评定系统信度和效度的研究[J].福建医科大学学报.2010,44(2)：120-124
[129]刘英,张伟明.《大学体验英语听说自主学习系统》测试平台信度及效度分析[J].韶关学院学报.2010,31(4)：153-157
[130]Samantha L. Jamson A. Hamish Jamson. The Validity of a Low-cost Simulator for the Assessment of the Effects of In-vehicle Information Systems [J]. Safety Science.2010,48(10):1477-1483
[131]Lev V. Utkin.Reliability models of m-out-of-n systems under incomplete information [J]. Computers & Operations Research.2004,31(10):1681-1702
[132]Geoffrey Stewart Morrison. Measuring the validity and reliability of forensic likelihood-ratio systems[J]. Science & Justice.2011,51(3):91-98
[133]J. Pablo Hernandez-Ramos. Teachers' Attitude Regarding the Use of ICT. A Factor Reliability and Validity Study [J]. Computers in Human Behavior.2012,23 (5):34-69
[134]岑延远.大学生竞争心理量表的编制及信效度分析[J].心理研究.2009,1：80-85
[135]丁瑛,张红霞.品牌文化测量工具的开发及其信效度检验[J].南开管理评论.2010,5：115-122
[136]Sang Hyuk Son. Using Replication to Improve Reliability in Distributed Information Systems [J]. Information and Software Technology.1987, 29(8):440-449
[137]Petra Schafer-Keller, Michael Dickenmann. Computerized Patient Education in Kidney Transplantation:Testing the Content Validity and Usability of the Organ Transplant Information System[J]. Patient Education and Counseling. 2009,74(1):110-117
[138]P Anne Fenety, Carol Putnam, Joan M Walker. In-chair movement:Validity, Reliability and Implications for Measuring Sitting Discomfort[J]. Applied Ergonomics.2000,31(4):383-393
[139]高根德,艳朋,祝飞虹.老年性痴呆康复评定软件的建立及信度效度检验[J].中国康复.2012,1：12-14
[140]Zhongxiang Huang, Aiwu Kuang. Impact of Traveler Information on Road Network Travel Time Reliability [J] Journal of Transportation Systems Engineering and Information Technology.2012,12(6):93-99
[141]Hiroyuku Ukai, Goh Toyosaki, Yoshiki Nakachi. Robust Control Design of Pss in Wide Area Power System Considering Information Reliability[J]. Power Plants and Power Systems Control.2007:285-290
[142]方建群,姚树桥.抑郁体验问卷中文版在640名大学生中的信效度检验及两种评分系统比较[J].中国心理卫生杂志.2008,22(3)：184-188
[143]罗帆,余欢.提高事业单位绩效考核信度与效度的制度创新[J].武汉理工大学学报.2004,26(6)：216-219
[144]陈社育,余嘉元.国家公务员公共基础知识考试的信度和效度研究[J].东南 大学学报.2002,4(1)：115-121
[145]陈社育,余嘉元.行政职业能力倾向测验的效度研究[J].理论与改革.20016(4)：24-29
[146]陈艳艳,于兰贞.社区护士核心能力评价指标的构建及信效度评价研究[J].护理研究.2012,26(10)：2873-287
[2]刘树良.企业沙盘模拟决策人机对抗系统[M].河北教育出版社.2009
[3]Patterson, Robert Earl. Training Intuitive Decision Making in a Simulated Real-world Environment[J]. Human Factors.2012,55(2):333-345
[4]Neely P, Tucker J. Case Study: An Examination of the Decision Making Process for Selecting Simulations for an Online MBA Program[J]. Education and Training. 2012,55(2):23-34
[5]Brezillon Patrick, Aroua Anissa. Representation of Real-time Decision-making by Contextual Graphs based Simulation[J]. Journal of Decision Systems.2012, 22(1):28-42
[6]Greenberg Michael, Lioy, Paul. Passenger Rail Security, Planning, and Resilience: Application of Network, Plume and Economic Simulation Models as Decision Support Tools[J]. Risk Analysis.2012,14(23):120-133
[7]Melouk Sharif H, Freeman. Simulation Optimization-based Decision Support Tool for Steel Manufacturing[J]. International Journal of Production Economics.2012, 141(1):269-276
[8]Sencer Asli, Ozel. A Simulation-based Decision Support System for Workforce Management in Call Centers[J]. Simulation.2012,89(4):481-497
[9]刘耀.论决策支持系统的应用现状和发展前景[J].计算机与现代化,2000,2：29-35
[10]宋福根,肖利华.现代企业管理人才经营决策能力培养仿真系统[J].管理科学学报.1998,1(3)：89-96
[11]刘爱贞,宋福根,高凤荣.基于模型的订货优化决策支持系统研究[J].决策与决策支持系统.1997,7(1)：64-68
[12]马彪,宋福根.现代企业经营决策仿真系统的开发与应用[J].中国纺织大学学报.1998,24(4)：24-28
[13]刘树良.企业沙盘模拟决策理论与实战[M].电子工业出版社.2008
[14]尹铁岩等.管理决策模拟方法及其教学实践[J].嘉兴学院学报.2005,17(1)：117-118
[15]薛长青.管理决策的模型结构与系统模拟技术的应用[J].北京工商大学学报(社会科学版).2001,16(6)：23-25
[16]胡玉立.李东贤市场预测与管理决策[M].中国人民大学出版社.1996
[17]孙红靖,臧其刚.对管理科学决策模拟的认识与思考[J].科技情报开发与经济.2006,16：21-26
[18]赵丽娟.企业持续竞争优势的内在机理[J].软科学.2006,20：34-37
[19]方关琪,张树人.复杂系统建模与仿真[M].中国人民大学出版社.2011
[20]姬长荣.不确定型决策分析方法在教学中的一些应用[J].长治学院学报.2008.5：51-56
[21]施飞峙.企业经营决策沙盘模拟”教学对大学生创业教育的作用[J].会计之友.2009,12：65-71
[22]Ul'yanov M.V, Alekseenko A.S. Probabilistic Approach to Information Apprehensibility Quantitative Measure Definition for Computer Algorithms[J]. Automation and Modern Technologies.2009,10:24-32
[23]Jumarie, Guy, Neelis M.L. Definition and Applications of an Information Measure which Takes Account of Symbols [C]. Annales des Telecommunications/Annals of Telecommunications.2004,39(11):523-537
[24]Stanic J. Term and definition of measuring in information theory[J]. Tehnika.1984,39(7):943-948
[25]Zhang Qiansheng, Liu Fuchun, Wu Lihua. Information Entropy, Similarity Measure and Inclusion Measure of Intuitionalist Fuzzy Sets[C]. Information Computing and Applications-Third International Conference. ICICA 2012, Proceedings.2012,307(1):392-398
[26]Wyner A.D. A definition of Conditional Mutual Information for Arbitrary Ensembles[J]. Information and Control.1978,38(1):51-59
[27]邬规.信息哲学——理论、体系、方法[M].商务印书馆.2005
[28]李国武.关于信息概念的研究述评[J].重庆邮电大学学报.2012,1：58-63
[29]Boon J.A. Information Economy in South Africa: Definition and Measurement[J]. Journal of Information Science.1994,20(5):334-347
[30]Lorenzo J, Hernandez M, Mendez J. GD:a Measure based on Information Theory for Attribute Selection[C]. Progress in Artificial Intelligence-IBERAMIA 98.6th Ibert-American Conference on AI. Proceedings.1998:124-135
[31]Ray, A.K,Khan, M.S.U. An Approach to Measure Information Content Conveyed by a Stock Price Index[J]. Op search.2004,41(4):209-222
[32]Claude Elwood Shannon. A Mathematical Theory of Communication [M]. University of Illinois Press.1948,27(1):379-423
[33]Kent J.T. Information Gain and a General Measure of Correlation[J]. Biometrika. 1949
[34]钟义信.信息科学原理[M].福建人民出版社.1988
[35]闵家胤.信息：定义、起源和进化[J].系统辩证学学报.1997,6：18-22
[36]邓宏,薛惠锋.试谂信息栅念的分类定义[J].西安电子科技大学学报.2002,1：84-88
[37]鲁晨光.广义信息论[M].中国科学技术大学出版社
[38]郭晓军,宋朝霞,汪玥.对信息系统边界定义的探讨[J].中国集体经济.2008,4：49-50
[39]单承伟.信息咨询概念探析[J].科技情报开发与经济.2010,6：83
[40]马玉琴.信息构建研究综述[J].图书馆学刊,2006(6)：11-12
[41]姚文艺.黄河河道实体模拟若干设计理论及其应用[D].河海大学.2005
[42]张瑞云.织物设计与三维实体着装模拟系统研究[D].东华大学.2002
[43]刘树良.企业沙盘模拟对抗方法浅析[J].财务与会计.2006,7：18-22
[44]张圣利.ERP沙盘模拟课程教学的SWOT分析[J].商业会计.2011,4(11)：76-77
[45]梁邵华.ERP环境下沙盘模拟会计实训浅析[J].财会通讯.2008,9：94
[46]何丽婷.浅谈ERP沙盘模拟实训课程实施及其评价[J].河北企业.2011,4：70-71
[47]王鹏.企业经营管理沙盘模拟训练系统的设计与实现[D].山东大学,2008
[48]德鲁克(美)著,齐若兰译.管理的实践[M].机械工业出版社,2006
[49]刘红勇,冯萍萍.某电站引水系统工程沙盘模拟计划研究[J].四川水利.2010,5：68-70
[50]张丽.沙盘模拟实验——企业培训的新方式[J].武汉冶金管理干部学院学报.2007,17(1)：37-39
[51]Xiang Fu, Doboli S, Impagliazzo J. Work in progress-A Sandbox Model for Teaching Entrepreneurship[C].2010 IEEE Frontiers in Education Conference. 2010:11-18
[52]Renzel, Dominik, Klamma, Ralf. From Micro to Macro:Analyzing Activity in the ROLE Sandbox[C]. ACM International Conference Proceeding Series. 2012:250-254
[53]Santhanam S, Elango P. Deploying Virtual Machines as Sandboxes for the Grid[J]. WORLDS'05. Second Workshop on Real, Large Distributed Systems. 2005:7-12
[54]Zhong Qun, Edwards Nigel. Operating System Support for the Sandbox Method and Its Application on Mobile Code Security[J]. HP Laboratories Technical Report.1997:1-11
[55]Keahey K, Doering K. From Sandbox to Playground:Dynamic Virtual Environments in the Grid[C]. Proceedings. Fifth IEEE/ACM International Workshop on Grid Computing.2004:34-42
[56]Liu Jinguang,Wu Zhifei. The Study of Military Conceptual Model based on Tactical Decision-making Simulation[J]. Advanced Materials Research.2012, 605(1):2333-2336
[57]Bennett, Casey C. Artificial Intelligence Framework for Simulating Clinical Decision-making: A Markov Decision Process Approach[J]. Artificial Intelligence in Medicine.2012,57(1):9-19
[58]Yu H, Solvang WD. A Multi-objective Decision Support System for Simulation and Optimization of Municipal Solid Waste Management System[C].3rd IEEE International Conference on Cognitive Infocommunications.2012:193-199
[59]Shelankov O.E. Applying the Simulation for Support Decision Making at Planning of Bringing Up the Material Means[C]. Problems of Radioelectronics. 2012(1):129-136
[60]李建臣,李一凡.基于HLA的海上援救模拟训练系统[J].计算机仿真.2004,22(3)：141-144
[61]王剑,王红卫.基于HLA的团队仿真训练功能框架研究[J].系统仿真学报.2010,22(5)：1164-1169
[62]张志良,楚丰,游大海等.一种基于CORBA和Agent技术的电力市场仿真平台的研究[J].电力系统及其自动化学报.2002,14(4)：29-31
[63]刘永,郭怀成,范英英等.湖泊生态系统动力学模型研究进展[J].应用生态学报.2005,16(6)：1169-1175
[64]张力菠,韩玉启,陈杰等.供应链管理的系统动力学研究综述[J].系统工程.2005,23(6)：8-15
[65]王仁平.财务信息的决策有用性研究[D].西南财经大学,2008
[66]张先治.基于管理者决策与控制的财务分析——企业内部报告的财务分析应用[J].财会月刊.2008,8：32-36
[67]叶楠.航运企业财务决策中的风险分析与管理决策[D].上海海事大学,2006
[68]罗飞,王竹泉.论国有企业的财务决策机制[J].财经论丛.2003(3)：64-71
[69]陈学萍,程景云,徐安宁.基于数据仓库的企业财务决策支持系统分析与设计[J].计算机辅助工程.2004(1)：7-12
[70]迟晓鹏.财务分析与决策支持系统的设计与开发[D].电子科技大学,2012
[71]张睿,吴洪波.基于ERP的财务决策支持系统的构架探析[J].科技与管理.2009,11(1)：65-67
[72]张凤霞.新形势下电厂财务影响问题分析[J].现代商业.2012,23：137
[73]张颖.关于目前企业财务管理的几点认识——以某生物质电厂为例[J].中国总会计师.2011,10：100-101
[74]邹文丽.电力新技术环境下电厂财务管理创新研究[J].现代经济信息.2012,24：229-230
[75]Siering, Michael. The Role of Misbehavior in Efficient Financial Markets: Implications for Financial Decision Support[J]. Lecture Notes in Business Information Processing.2012,135:42-58
[76]Song Bao Quan, Yuan Ying. Selection-decision of Multi-Financial-Production of Small-medium Real Estate Enterprises[J]. Journal of Northeastern University. 2013,34(4):598-601
[77]Lucko Gunnar. Supporting Financial Decision-making Based on Time Value of Money with Singularity Functions in Cash Flow Models[J]. Construction Management and Economics.2013,31(3):238-253
[78]Martin J, Setzer T. Decision Support Services Based on Dynamic Digital Analyses-Quality Metrics for Financial Planning Processes[J]. Proceedings of the 2012 Annual SRII Global Conference (SRⅡ).2012:130-138
[79]Arnold V, Bedard J C. The Impact of Tagging Qualitative Financial Information on Investor Decision Making: Implications for XBRL[J]. International Journal of Accounting Information Systems.2012,13(1):2-20
[80]Giulioni G, Bucciarelli E. Exploring Firms Financial Decisions by Human and Artificial Agents. Towards an Assessment of Minsky's Financial Instability Hypothesis[C]. Proceedings of the 4th International Conference on Agents and Artificial Intelligence.2012:184-189
[81]Strang, Kenneth David. Applied Financial Non-linear Programming Models for Decision making[J]. International Journal of Applied Decision Sciences.2012, 5(4):370-395
[82]Kaufmann L, Carter C R. The Impact of Individual De-biasing Efforts on Financial Decision Effectiveness in the Supplier Selection Process[J]. International Journal of Physical Distribution & Logistics Management.2012, 42(5):411-433
[83]Ben-Assuli Ofir. Assessing the Perception of Information Components in Financial Decision Support Systems[J]. Decision Support Systems.2012, 54(1):795-802
[84]Liu Shuliang. Numerical Simulation of Cost of Sales in Thermal Power Plants based on System Dynamics[J]. International Journal of Applied Mathematics and Statistics.2013,45(9):165-173
[85]Yee Leung, Fischer, M.M. A Rough Set Approach for the Discovery of Classification Rules in Interval-valued Information Systems[J]. International Journal of Approximate Reasoning,2008,47(2):223-246
[86]Yee Leung, Tung Fung, Ju-Sheng Mi. A Rough Set Approach to the Discovery of Classification Rules in Spatial Data[J]. International Journal of Geographical Information Science.2007,21(9):1033-1058
[87]Dembczynski K, Greco S, Slowinski R. Rough Set Approach to Multiple Criteria Classification with Imprecise Evaluations and Assignments[J]. European Journal of Operational Research.2009,32(11):167-189
[88]Yang X B, Yu D J, Yang J Y, et al. Dominance-based Rough Set Approach to Incomplete Interval-valued Information System[J]. Data and Knowledge Engineering.2009,4(16):45-69
[89]Tuan-Fang Fan, Churn-Jung Liau, Duen-Ren Liu. Dominance-based Fuzzy Rough Set Analysis of Uncertain and Processibility Data Tables[J]. International Journal on Approximate Reasoning.2011,6(9):87-112
[90]郭翠峰.基于模糊粗糙集理论的区间信息系统知识约简方法研究[D].西华大学.2012
[91]张文修.粗糙集理论与方法[M].科学出版社.2001
[92]冯林,李天瑞,余志强.连续值属性决策表中的可变精度粗糙集模型及属性约简[J].计算机科学.2010,9：47-52
[93]付昂,王国胤,胡军.基于信息熵的不完备信息系统属性约简算法[J].重庆邮电大学学报.2008,5：586-592
[94]马若微.基于粗糙集与信息熵的上市公司财务困境预警指标的确立[J].当代经济科学.2005,27(2)：45-51
[95]滕书华,周石琳.基于条件熵的不完备信息系统属性约简算法[J].国防科技大学学报.2010,32(2)：90-94
[96]程岩,黄梯云.信息系统中一种面向粗糙集的数据挖掘方法[J].情报学报.2001,20(1)：90-99
[97]白俊卿.基于粗糙集理论的不完备信息系统下的知识获取方法研究[D].重庆大学.2006
[98]朱六兵,唐德波,杨斌.基于粗糙集信息观的决策表属性约简方法[J].信息技术.2006,1：46-49
[99]管涛,冯博琴.模糊目标信息系统上的知识约简方法[J].软件学报.2004,15(10)：1470-1478
[100]Nayak, Rudra Kalyan, Mishra, Debahuti Das. Clustering and Classifying informative attributes using rough set theory[C]. ACM International Conference Proceeding Series.2012:118-123
[101]Foithong S, Pinngern O, Attachoo B. Feature Subset Selection Wrapper based on Mutual Information and Rough Sets[J]. Expert Systems with Applications. 2012,39(1):574-584
[102]Zhi Tao, Hui-jun Dai. Rough Set Model based on Set Pair Analysis in Incomplete Information System[J]. Journal of Computer Applications.2008, 27(7):1684-1691
[103]Guoyin Wang, Lihe Guan, Feng Hu. Rough Set Extensions in Incomplete Information Systems[J]. Frontiers of Electrical and Electronic Engineering in China.2008,3(4):399-405
[104]Suraj, Z. Reconstruction of Cooperative Information Systems Under Cost Constraints:a Rough Set Approach[J]. Information Sciences.2008,111(1):273-291
[105]Qi Jianxun, LiuShuliang, Wang Juanli. Fuzzy Comprehensive Evaluation Based on Set Pair Analysis of the Rural Power Grid Planning Project [C]. Information Technology Applications in Industry,Computer Engineering and Materials Science.2013,756:4144-4148
[106]Qi Jianxun, LiuShuliang, Sun Zhaoying. Study on Post-Evaluation for the Power Transmission and Transformation Project Based on AHP-Fuzzy Comprehensive [C]. Information Technology Applications in Industry,Computer Engineering and Materials Science.2013,756:4149-4154
[107]Terje Aven, BJornar Heide. Reliability and Validity of Risk Analysis[J]. Reliability Engineering & System Safety.2009,94(11):1862-1868
[108]Zhen Sun, Hanhui Chen. The Chinese Version of the Addiction Severity Index (ASI-C):Reliability, validity, and Responsiveness in Chinese Patients with Alcohol Dependence[J]. Alcohol.2012,46(8):777-781
[109]张庆文,马苓.大学绩效评估指标系统的信度与效度分析[J].河北大学学报.2009,34(3)：88-92
[110]王秀华.业绩管理信度与效度影响因素研究[D].中国海洋大学,2004
[111]周萍.儿童认知障碍诊治仪ZM3.1-Y信度和效度的检测[D].暨南大学,2010
[112]陈春芬.当前计算机类课程网络考试系统的信度和效度研究[D].云南师范大学,2009
[113]Jessie C. Janssen Lan Le-Ngoc. Intratester Reliability and Validity of Concentric Measurements Using a New Hand-Held Dynamometer[J]. Archives of Physical Medicine and Rehabilitation.2009,90(9):1541-1547
[114]Carolyn C Preston, Andrew M Colman. Optimal Number of Response Categories in Rating Scales:Reliability, Validity, Discriminating Power, and Respondent Preferences [J]. Acta Psychologica.2000,104(1):1-15
[115]Pirjo Kejonen, Kari Kauranen. Reliability and Validity of Standing Balance Measurements with a Motion Analysis System[J]. Physiotherapy.2002, 88(1):25-32
[116]廖列法,杨姝,王刊良.信息系统实证研究信度效度检验研究[J].科学学与科学技术管理.2008,2：37-41
[117]马磊.上海高校自主招生考试的信度和效度分析[J].上海交通大学学报.2011(12)：1829-1835
[118]Vicky Pardo, Dale Knuth. Validity, Reliability and Minimum Detectable Change of the Maximum Step Length Test in People with Stroke[J]. Journal of the Neurological Sciences.2012,325(1):74-78
[119]Moruf L. Adelekan, Simon Gowers. Reliability and Validity of the Westminster Substance Use Questionnaire Among Lancashire Adolescents[J]. Drug and Alcohol Dependence.1994,34(3):191-199
[120]张志颖,张子军,康凯,等.信息系统能力模型的信度与效度分析[J].情报杂志.2009,5：78-80
[121]T Long, M Johnson, Rigour. Reliability and Validity in Qualitative Research [J]. Clinical Effectiveness in Nursing.2000,4(1):30-37
[122]Wilfried Admiraal, Mark Hoeksma. Assessment of Teacher Competence Using Video Portfolios:Reliability, Construct Validity, and Consequential Validity[J]. Teaching and Teacher Education.2011,27(6):1019-1028
[123]David Denyer,Elmar Kutsch. Exploring Reliability in Information Systems Programmes [J]. International Journal of Project Management.2011, 29(4):442-454
[124]Gavin T.L. Brown, Kath Glasswell. Accuracy in the Scoring of Writing: Studies of Reliability and Validity using a New Zealand Writing Assessment System[J]. Assessing Writing.2004,9(2):105-121
[125]邸颖娜.语言测试中的效度问题[J].职业技术.2009,7：86
[126]黄战锋,董燕,齐建林,等.歼击机飞行员“基本认知能力测验”信效度分析[J].空军总医院学报.2009,4：172-173
[127]谢贤春.英语作文自动评分及其效度、信度与可操作性探讨[J].江西师范大学学报.2010,2：136-140
[128]康德智,谢波,郑建民,等.计算机辅助认知评定系统信度和效度的研究[J].福建医科大学学报.2010,44(2)：120-124
[129]刘英,张伟明.《大学体验英语听说自主学习系统》测试平台信度及效度分析[J].韶关学院学报.2010,31(4)：153-157
[130]Samantha L. Jamson A. Hamish Jamson. The Validity of a Low-cost Simulator for the Assessment of the Effects of In-vehicle Information Systems [J]. Safety Science.2010,48(10):1477-1483
[131]Lev V. Utkin.Reliability models of m-out-of-n systems under incomplete information [J]. Computers & Operations Research.2004,31(10):1681-1702
[132]Geoffrey Stewart Morrison. Measuring the validity and reliability of forensic likelihood-ratio systems[J]. Science & Justice.2011,51(3):91-98
[133]J. Pablo Hernandez-Ramos. Teachers' Attitude Regarding the Use of ICT. A Factor Reliability and Validity Study [J]. Computers in Human Behavior.2012,23 (5):34-69
[134]岑延远.大学生竞争心理量表的编制及信效度分析[J].心理研究.2009,1：80-85
[135]丁瑛,张红霞.品牌文化测量工具的开发及其信效度检验[J].南开管理评论.2010,5：115-122
[136]Sang Hyuk Son. Using Replication to Improve Reliability in Distributed Information Systems [J]. Information and Software Technology.1987, 29(8):440-449
[137]Petra Schafer-Keller, Michael Dickenmann. Computerized Patient Education in Kidney Transplantation:Testing the Content Validity and Usability of the Organ Transplant Information System[J]. Patient Education and Counseling. 2009,74(1):110-117
[138]P Anne Fenety, Carol Putnam, Joan M Walker. In-chair movement:Validity, Reliability and Implications for Measuring Sitting Discomfort[J]. Applied Ergonomics.2000,31(4):383-393
[139]高根德,艳朋,祝飞虹.老年性痴呆康复评定软件的建立及信度效度检验[J].中国康复.2012,1：12-14
[140]Zhongxiang Huang, Aiwu Kuang. Impact of Traveler Information on Road Network Travel Time Reliability [J] Journal of Transportation Systems Engineering and Information Technology.2012,12(6):93-99
[141]Hiroyuku Ukai, Goh Toyosaki, Yoshiki Nakachi. Robust Control Design of Pss in Wide Area Power System Considering Information Reliability[J]. Power Plants and Power Systems Control.2007:285-290
[142]方建群,姚树桥.抑郁体验问卷中文版在640名大学生中的信效度检验及两种评分系统比较[J].中国心理卫生杂志.2008,22(3)：184-188
[143]罗帆,余欢.提高事业单位绩效考核信度与效度的制度创新[J].武汉理工大学学报.2004,26(6)：216-219
[144]陈社育,余嘉元.国家公务员公共基础知识考试的信度和效度研究[J].东南 大学学报.2002,4(1)：115-121
[145]陈社育,余嘉元.行政职业能力倾向测验的效度研究[J].理论与改革.20016(4)：24-29
[146]陈艳艳,于兰贞.社区护士核心能力评价指标的构建及信效度评价研究[J].护理研究.2012,26(10)：2873-287
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