A Possibilistic Programming Approach Based on Trapezoidal Possibility Distribution and Its Application in Oil Field Exploitation

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• 英文论文题名：A Possibilistic Programming Approach Based on Trapezoidal Possibility Distribution and Its Application in Oil Field Exploitation
• 论文作者：Zhe Liu ; Shurong Li ; Yulei Ge
• 英文论文作者：Zhe Liu ; Shurong Li ; Yulei Ge ; College of Information and Control Engineering ; China University of Petroleum(East China)
• 年：2017
• 作者机构：College of Information and Control Engineering,China University of Petroleum(East China);
• 英文论文关键词：trapezoidal fuzzy numbers ; oil field exploitation ; fuzzy mathematical programming
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：TE34
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：6
• 文件大小：121k
• 原文格式：D
• 会议级别：全国

摘要

Against a low accuracy for people to solve fuzzy assignment problem by using possibilistic programming approach,an improved algorithm based on trapezoidal possibility distribution is given in this paper.Trapezoidal possibility distribution has comparative complex membership function,so we can process actual decision information better and reflect decision maker's subjectivity much better.Then the improved possibilistic programming approach is used to solve a fuzzy multi-objective assignment problem in oil field exploitation,which contains imprecise objective functions and fuzzy relation equations.Additionally,we obtain a regular conclusion in which the decision maker can acquire different appropriate schemes by changing aspiration levels.The acquired optimal assignment schemes in oil field exploitation verify the feasibility and effectiveness of the improved algorithm.
Against a low accuracy for people to solve fuzzy assignment problem by using possibilistic programming approach,an improved algorithm based on trapezoidal possibility distribution is given in this paper.Trapezoidal possibility distribution has comparative complex membership function,so we can process actual decision information better and reflect decision maker's subjectivity much better.Then the improved possibilistic programming approach is used to solve a fuzzy multi-objective assignment problem in oil field exploitation,which contains imprecise objective functions and fuzzy relation equations.Additionally,we obtain a regular conclusion in which the decision maker can acquire different appropriate schemes by changing aspiration levels.The acquired optimal assignment schemes in oil field exploitation verify the feasibility and effectiveness of the improved algorithm.

引文

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