Pythagorean Membership Grades in Multicriteria Decision Making

被引:2274
作者
Yager, Ronald R. [1 ,2 ,3 ,4 ,5 ]
机构
[1] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10805 USA
[2] Natl Sci Fdn, Informat Sci Program, Arlington, VA 22230 USA
[3] Univ Calif Berkeley, Berkeley, CA 94720 USA
[4] Aalborg Univ Denmark, Aalborg, Denmark
[5] New York Acad Sci, New York, NY USA
关键词
Aggregation; decision-making; membership grade; nonstandard fuzzy set; FUZZY; FUZZINESS; NEGATION; SYSTEMS;
D O I
10.1109/TFUZZ.2013.2278989
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We first look at some nonstandard fuzzy sets, intuitionistic, and interval-valued fuzzy sets. We note both these allow a degree of commitment of less then one in assigning membership. We look at the formulation of the negation for these sets and show its expression in terms of the standard complement with respect to the degree of commitment. We then consider the complement operation. We describe its properties and look at alternative definitions of complement operations. We then focus on the Pythagorean complement. Using this complement, we introduce a class of nonstandard Pythagorean fuzzy subsets whose membership grades are pairs, (a, b) satisfying the requirement a(2) + b(2) <= 1. We introduce a variety of aggregation operations for these Pythagorean fuzzy subsets. We then look at multicriteria decision making in the case where the criteria satisfaction are expressed using Pythagorean membership grades. The issue of having to choose a best alternative in multicriteria decision making leads us to consider the problem of comparing Pythagorean membership grades.
引用
收藏
页码:958 / 965
页数:8
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