郭海艳, 苏静文, 李燕飞, 吴涛.基于商空间的语言型Z-number多准则决策方法[J].重庆工商大学学报(自然科学版),2021,38(2):122-128
GUO Hai-yan,SU Jing-wen,LI Yan-fei, WU Tao.Linguistic Z number Multiple Criteria Decision making Method Based on Quotient Space[J].Journal of Chongqing Technology and Business University(Natural Science Edition),2021,38(2):122-128
基于商空间的语言型Z-number多准则决策方法
Linguistic Z number Multiple Criteria Decision making Method Based on Quotient Space
  
DOI:
中文关键词:  Z-number  多准则决策  可能度  商空间  QUALIFLEX
英文关键词:Z-umber  multiple criteria decision making  likelihood degree  quotient space  QUALIFLEX
基金项目:
作者单位
郭海艳, 苏静文, 李燕飞, 吴涛 1.安徽大学 数学科学学院合肥 2306012.安徽大学 经济学院合肥 2306013.安徽大学 计算机智能与信号处理教育部重点实验室合肥 230039 
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中文摘要:
      针对Z-number多准则决策中计算复杂度高,计算量大等问题,提出了一种较为简单且行之有效的基于粒度的多准则决策方法;将语言型Z-number决策信息转化为经典模糊数,用提出的可能度公式来两两比较方案的优劣程度,并且根据定义的模糊度公式计算出各准则的权重,继而得到最终的决策矩阵;然后,基于商空间的基本理论对QUALIFLEX排序方法进行改进,根据方案间的优势关系以及保假原理,可以将问题的最优解确定在较小的粒度空间内,在这个较小的粒度空间内搜索出综合一致性最大的最优排列,得到问题的最优解;最后通过实例分析可验证提出方法的可行性和有效性,且方法有效降低了计算的复杂度。
英文摘要:
      In order to solve the problems of high computational complexity and a large amount of computation in Z-number multiple criterion decision making, a simple and effective multi criterion decision making method based on granularity is proposed.The linguistic Z number decision information is transformed into the classical fuzzy number,and the proposed likelihood degree formula is used to compare the pros and cons of the scheme in pairs,the weight of each criterion is calculated according to the defined fuzzy degree formula, and then the final decision matrix is obtained. Finally, based on the basic theory of quotient space, the QUALIFLEX sorting method is improved, according to the falsity preserving principle and the degree of dominance between schemes,the optimal solution of the problem can be determined in a small granularity space,and the optimal solution with the largest comprehensive consistency is obtained by searching in this smaller granularity space.Finally,the feasibility and validity of the proposed method can be verified by an example,and the computational complexity can be reduced effectively.
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