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《第36届中国控制会议论文集(B)》2017年
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A Possibilistic Programming Approach Based on Trapezoidal Possibility Distribution and Its Application in Oil Field Exploitation

Zhe Liu  Shurong Li  Yulei Ge  
【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.
【作者单位】:College of Information and Control Engineering,China University of Petroleum(East China)
【基金】:supported by National Natural Science Foundation under Grant No.61573378 Natural Science Foundation of Shandong province under Grant No.ZR2011FM002 the Fundamental Research Funds for the Central Universities under Grant No.15CX06064A
【分类号】:TE34
【正文快照】:
~~A Possibilistic Programming Approach Based on Trapezoidal Possibility Distribution and Its Application in Oil Field Exploitation@Zhe Liu$College of Information and Control Engineering,China University of Petroleum(East China)!Qingdao,266580,China @Sh

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