摘要
基于梯形直觉模糊数的值和模糊度两个特征,一类梯形直觉模糊数的排序方法被研究.首先,给出了梯形直觉模糊数的定义、运算法则和截集.其次,定义了梯形直觉模糊数关于隶属度和非隶属度的值和模糊度,以及值的指标和模糊度的指标.最后,给出了梯形直觉模糊数的排序方法,并将其应用到属性值为梯形直觉模糊数的多属性决策问题中.
The ranking of trapezoidal intuitionistic fuzzy numbers （TIFNs）was solved by the value and ambiguity based ranking method developed in this paper.Firstly,the concept of TIFNs was introduced,and arithmetic operations and cut sets over TIFNs were investigated.Then,the values and ambiguities of the membership degree and the non-membership degree for TIFNs were defined as well as the value-index and ambiguity-index.Finally,a value and ambiguity based ranking method was developed and applied to solve multiattribute decision making problems in which the ratings of alternatives on attributes were expressed using TIFNs.A numerical example was examined to demonstrate the implementation process and applicability of the method proposed.
出处
《经济数学》
2014年第3期87-91,共5页
Journal of Quantitative Economics
基金
国家自然科学基金的资助(71101033
71461005)
广西自然科学基金的资助(2012GXNSFAA053013
2012GXNSFAA053002
2014GXNSFAA118010)
中国博士后基金的资助(13R21414700
2013M540372)
关键词
梯形直觉模糊数
梯形直觉模糊数的排序
多属性决策
trapezoidal intuitionistic fuzzy number
ranking of trapezoidal intuitionistic fuzzy numbers
multiattribute decision making
