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基于重心法的模糊风险分析
引用本文:张成,李婷,刘晓真.基于重心法的模糊风险分析[J].辽宁工程技术大学学报(自然科学版),2012(2):240-243.
作者姓名:张成  李婷  刘晓真
作者单位:大连大学信息工程学院,辽宁大连116622
基金项目:国家自然科学基金资助项目(90818025)
摘    要:为了使模糊风险分析理论在实际中的应用更有效,需要建立更合理的模糊数间的相似性测度公式.以往基于重心法所建立的模糊数间的相似性测度依据的都是近似的重心公式,缺乏理论根据.针对广义梯形模糊数,采用SCGM建立准确的COG公式,说明了基于此表达式计算广义梯形模糊数相似度的优势,从而克服了用近似重心公式得到的相似性测度公式的缺陷.结果表明:基于准确COG表达式所给出的相似性测度进行模糊风险分析,得到的结果可靠性更高,便于决策者作出更加准确的决策.

关 键 词:模糊数  广义梯形模糊数  相似性测度  COG公式  SCGM  风险分析结构  语言指标集  模糊风险分析

Fuzzy risk analysis based on COG method
ZHANG Cheng,LI Ting,LIU Xiaozhen.Fuzzy risk analysis based on COG method[J].Journal of Liaoning Technical University (Natural Science Edition),2012(2):240-243.
Authors:ZHANG Cheng  LI Ting  LIU Xiaozhen
Institution:(College of Information Engineering,Dalian University,Dalian 116622,China)
Abstract:In order to make the fuzzy risk analysis theory more effective in practice,a more rational method for calculating the degree of similarity between fuzzy numbers is required.The methods based on the Center of Gravity Method actually are approximate and lack of theoretical basis.In terms of generalized trapezoidal fuzzy numbers,an accurate expression of COG based on SCGM is presented in this paper.The proposed COG expressions have an advantage in calculating similarity measure of fuzzy numbers.It overcomes the disadvantage of similarity measure method based on the approximate expressions of COG.The study shows that the results from the proposed method are more reliable and beneficial for decision-makers to make a more accurate decision.
Keywords:fuzzy numbers  generalized trapezoidal fuzzy numbers  similarity measures  COG method  SCGM  structure of risk analysis  linguistic term set  fuzzy risk analysis
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