A Fuzzy Analytic Network Process Model for Evaluation of Ship Maneuverability
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- 英文论文题名：A Fuzzy Analytic Network Process Model for Evaluation of Ship Maneuverability
- 论文作者：WANG Xin ; LIU Zhengjiang ; CAI Yao ; WU Zhaolin
- 英文论文作者：WANG Xin ; LIU Zhengjiang ; CAI Yao ; WU Zhaolin ; Dalian Maritime University
- 年：2015
- 作者机构：Dalian Maritime University;
- 英文论文关键词：ship maneuverability ; evaluation process ; ANP ; triangluar fuzzy numbers
- 会议召开时间：2015-09-01
- 会议录名称：中国航海科技优秀论文集（2014）
- 语种：英文
- 分类号：U661.33
- 学会代码：PJJY
- 学会名称：上海浦江教育出版社有限公司
- 页数：18
- 文件大小：579k
- 原文格式：O
摘要
In this paper,a novel fuzzy Analytic Network Process(ANP) model is proposed for the evaluation of ship maneuverability.To cope with ambiguity and vagueness problem,the index evaluation decision-making matrix is constructed and the indexes attribute values are fuzzed with triangular fuzzy numbers.Meanwhile,the evaluation indexes weights are determined by analytic network process since the capable of overcoming the interdependence and interaction among criteria or factors.The main difference of this study from other studies and its contribution is that it suggests a model which tries to eliminate the vagueness and insufficiency via fuzzy ANP method for evaluation of ship maneuverability.The proposed fuzzy ANP model can analyze the fuzzy interactions among the factors for evaluation of ship maneuverability,and the maneuverability of ship can be measured on the basis of the factor weights obtained at the end of these analyses.At last,the test parameters of a real ship handling are applied to the case study to illustrate the effectiveness and advantages of the proposed scheme.The results show that the proposed fuzzy ANP approach is a viable and highly capable methodology and can be used as an effective tool for the evaluation of ship maneuverability.In addition,a comparison with the fuzzy AHP model is performed for the evaluation of ship maneuverability,and experimental results are encouraging.
In this paper,a novel fuzzy Analytic Network Process(ANP) model is proposed for the evaluation of ship maneuverability.To cope with ambiguity and vagueness problem,the index evaluation decision-making matrix is constructed and the indexes attribute values are fuzzed with triangular fuzzy numbers.Meanwhile,the evaluation indexes weights are determined by analytic network process since the capable of overcoming the interdependence and interaction among criteria or factors.The main difference of this study from other studies and its contribution is that it suggests a model which tries to eliminate the vagueness and insufficiency via fuzzy ANP method for evaluation of ship maneuverability.The proposed fuzzy ANP model can analyze the fuzzy interactions among the factors for evaluation of ship maneuverability,and the maneuverability of ship can be measured on the basis of the factor weights obtained at the end of these analyses.At last,the test parameters of a real ship handling are applied to the case study to illustrate the effectiveness and advantages of the proposed scheme.The results show that the proposed fuzzy ANP approach is a viable and highly capable methodology and can be used as an effective tool for the evaluation of ship maneuverability.In addition,a comparison with the fuzzy AHP model is performed for the evaluation of ship maneuverability,and experimental results are encouraging.
In this paper,a novel fuzzy Analytic Network Process(ANP) model is proposed for the evaluation of ship maneuverability.To cope with ambiguity and vagueness problem,the index evaluation decision-making matrix is constructed and the indexes attribute values are fuzzed with triangular fuzzy numbers.Meanwhile,the evaluation indexes weights are determined by analytic network process since the capable of overcoming the interdependence and interaction among criteria or factors.The main difference of this study from other studies and its contribution is that it suggests a model which tries to eliminate the vagueness and insufficiency via fuzzy ANP method for evaluation of ship maneuverability.The proposed fuzzy ANP model can analyze the fuzzy interactions among the factors for evaluation of ship maneuverability,and the maneuverability of ship can be measured on the basis of the factor weights obtained at the end of these analyses.At last,the test parameters of a real ship handling are applied to the case study to illustrate the effectiveness and advantages of the proposed scheme.The results show that the proposed fuzzy ANP approach is a viable and highly capable methodology and can be used as an effective tool for the evaluation of ship maneuverability.In addition,a comparison with the fuzzy AHP model is performed for the evaluation of ship maneuverability,and experimental results are encouraging.
引文
[1]HONG Biguang,YANG Lingjia.Ship Handing[M].Dalian:Dalian Maritime University Press,2012.
[2]HONG Biguang,JIA Chuanying.Synthetical evaluation of large ship maneuverability[J].Journal of Traffic and Transportation Engineering,2002,2(2):55-58.
[3]QIU Yunming,ZHAO Ke,CHEN Weijiong,et al.The comprehensive assessment of ship handling performance based on AHP and Fuzzy theory[J].Jiangsu Ship,2005,22(2):8-11.
[4]ZHANG Jianli,LI Litie.Integrated Evaluation of Ship Maneuverability Based on DHGF Algorithm[J].Chinese Journal of Ship Research,2010,5(6):56-59.
[5]QU Junfei,BI Yi.Comprehensive Evaluation of Ship Maneuverability Based on the Algorithm of Deviation Maximization[J].Chinese Journal of Ship Research,2012,7(5):55-59.
[6]ZHANG Tao,BI Yi.Synthesized Evaluation of Ship Maneuverability Based on the Entropy Weight Method and Vague Value Method[J].Chinese Journal of Ship Research,2013,8(3):45-49.
[7]XIONG Yunfeng,CHEN Zhanglan,YUAN Hongli.The ship maneuverability evaluation combining grey relational theory and TOPSIS[J].Navigation of China,2013,36(3):86-89.
[8]CHAN Hingkai,WANG Xiaojun.Fuzzy Hierarchical Model for Risk Assessment.Springer-Verlag London,2013.
[9]T.L.Saaty.Decision making with dependence and feedback;The analytic network process.Pittsburgh;RWS Publications,1996.
[10]L.M.Meade,J.Sarkis.Analyzing organizational project alternatives for agile manufacturing processes:An analytical network approach[J].International Journal of Production Research,1999(37):241-261.
[11]Umut R Tuzkaya,Semih Onut.A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany:A case study[J].Information Sciences,2008(178):3133-3146.
[12]Sarkis J.Quantitative models for performance measurement systems-alternate considerations[J].International Journal of Production Economics,2002(86):81-90.
[13]Yurdakul M Measuring long-term performance of a manufacturing firm using the analytic network process(ANP)approach[J].International Journal of Production Research,2003,41(11):2501-2529.
[14]Demirtas E.A.,Ustun O.Analytic network process and multi-period goal programming integration in purchasing decisions[J].Computers and Industrial Engineering,2009,56(2):677-690.
[15]Onut S.,Kara S.S.,Isik E.Long term supplier selection using a combined fuzzy MCDM approach:A case study for a telecommunication company[J].Expert Systems with Applications,2009,36(2):3887-3895.
[16]Wey W.M,Wu K.Y.Using ANP priorities with goal programming in resource allocation in transportation[J].Mathematical and Computer Modeling,2007,46(7-8):985-1000.
[17]Mikhailov L.,Madan G.Fuzzy analytic network process and its application to the development of decision support system[J].IEEE Transactions on Systems,Man,and Cybernetics-Part C:Application and Reviews,2003,33(1):33-41.
[18]Mohanty R P.,Agarwal R.,Choudhury A K.,et al.A fuzzy ANP based approach to R&D project selection;A case study[J].International Journal of Production Research,2005(43):5199-5216.
[19]Tuzkaya G.,Ozgen A.,Ozgen D.,et al.Environmental performance evaluation of suppliers:A hybrid fuzzy multi-criteria decision approach[J].International Journal of Environmental Science and Technology,2009(6):477-490.
[20]Liu K.F.R,Lai J.H.Decision-support for environmental impact assessment;A hybrid approach using fuzzy logic and fuzzy analytic network process[J].Expert Systems with Applications,2009(36):5119-5136.
[21]LUO Zhimeng,ZHOU Jianzhong,ZHENG Liping.A TFN-ANP based approach to evaluation Virtual Research Center comprehensive performance[J].Expert Systems with Applications,2010(37):8379-8386.
[22]Metin Dagdeviren,Ihsan Yuksel,Mustafa Kurt.A-fuzzy analytic network process(ANP)model to identify faulty behavior risk(FBR)in work system[J].Safety Science,2008(46):771-783.
[23]Metin Dagdev iren,Ihsan Yuksel.A fuzzy analytic network process(ANP)model for measurement of the sectoral competititon level(SCL)[J].Expert Systems with Applications,2010(37):1005-1014.
[24]International Maritime Organization(IMO).Standards for Ship Manoeuvrability.Resolution MSC.137(76),2002.
[2]HONG Biguang,JIA Chuanying.Synthetical evaluation of large ship maneuverability[J].Journal of Traffic and Transportation Engineering,2002,2(2):55-58.
[3]QIU Yunming,ZHAO Ke,CHEN Weijiong,et al.The comprehensive assessment of ship handling performance based on AHP and Fuzzy theory[J].Jiangsu Ship,2005,22(2):8-11.
[4]ZHANG Jianli,LI Litie.Integrated Evaluation of Ship Maneuverability Based on DHGF Algorithm[J].Chinese Journal of Ship Research,2010,5(6):56-59.
[5]QU Junfei,BI Yi.Comprehensive Evaluation of Ship Maneuverability Based on the Algorithm of Deviation Maximization[J].Chinese Journal of Ship Research,2012,7(5):55-59.
[6]ZHANG Tao,BI Yi.Synthesized Evaluation of Ship Maneuverability Based on the Entropy Weight Method and Vague Value Method[J].Chinese Journal of Ship Research,2013,8(3):45-49.
[7]XIONG Yunfeng,CHEN Zhanglan,YUAN Hongli.The ship maneuverability evaluation combining grey relational theory and TOPSIS[J].Navigation of China,2013,36(3):86-89.
[8]CHAN Hingkai,WANG Xiaojun.Fuzzy Hierarchical Model for Risk Assessment.Springer-Verlag London,2013.
[9]T.L.Saaty.Decision making with dependence and feedback;The analytic network process.Pittsburgh;RWS Publications,1996.
[10]L.M.Meade,J.Sarkis.Analyzing organizational project alternatives for agile manufacturing processes:An analytical network approach[J].International Journal of Production Research,1999(37):241-261.
[11]Umut R Tuzkaya,Semih Onut.A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany:A case study[J].Information Sciences,2008(178):3133-3146.
[12]Sarkis J.Quantitative models for performance measurement systems-alternate considerations[J].International Journal of Production Economics,2002(86):81-90.
[13]Yurdakul M Measuring long-term performance of a manufacturing firm using the analytic network process(ANP)approach[J].International Journal of Production Research,2003,41(11):2501-2529.
[14]Demirtas E.A.,Ustun O.Analytic network process and multi-period goal programming integration in purchasing decisions[J].Computers and Industrial Engineering,2009,56(2):677-690.
[15]Onut S.,Kara S.S.,Isik E.Long term supplier selection using a combined fuzzy MCDM approach:A case study for a telecommunication company[J].Expert Systems with Applications,2009,36(2):3887-3895.
[16]Wey W.M,Wu K.Y.Using ANP priorities with goal programming in resource allocation in transportation[J].Mathematical and Computer Modeling,2007,46(7-8):985-1000.
[17]Mikhailov L.,Madan G.Fuzzy analytic network process and its application to the development of decision support system[J].IEEE Transactions on Systems,Man,and Cybernetics-Part C:Application and Reviews,2003,33(1):33-41.
[18]Mohanty R P.,Agarwal R.,Choudhury A K.,et al.A fuzzy ANP based approach to R&D project selection;A case study[J].International Journal of Production Research,2005(43):5199-5216.
[19]Tuzkaya G.,Ozgen A.,Ozgen D.,et al.Environmental performance evaluation of suppliers:A hybrid fuzzy multi-criteria decision approach[J].International Journal of Environmental Science and Technology,2009(6):477-490.
[20]Liu K.F.R,Lai J.H.Decision-support for environmental impact assessment;A hybrid approach using fuzzy logic and fuzzy analytic network process[J].Expert Systems with Applications,2009(36):5119-5136.
[21]LUO Zhimeng,ZHOU Jianzhong,ZHENG Liping.A TFN-ANP based approach to evaluation Virtual Research Center comprehensive performance[J].Expert Systems with Applications,2010(37):8379-8386.
[22]Metin Dagdeviren,Ihsan Yuksel,Mustafa Kurt.A-fuzzy analytic network process(ANP)model to identify faulty behavior risk(FBR)in work system[J].Safety Science,2008(46):771-783.
[23]Metin Dagdev iren,Ihsan Yuksel.A fuzzy analytic network process(ANP)model for measurement of the sectoral competititon level(SCL)[J].Expert Systems with Applications,2010(37):1005-1014.
[24]International Maritime Organization(IMO).Standards for Ship Manoeuvrability.Resolution MSC.137(76),2002.