PARAMETERIZED AND-LIKE AND OR-LIKE OWA OPERATORS

被引:152
作者
YAGER, RR
FILEV, DP
机构
[1] Machine Intelligence Institute, Iona College, New Rochelle
关键词
AGGREGATION OPERATORS; DECISION MAKING; AVERAGING OPERATORS; FUZZY SET THEORY; FUZZY LOGIC CONTROL;
D O I
10.1080/03081079408935212
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We discuss the OWA (Ordered Weighted Averaging) operators which provide for aggregation operations lying between the and and the or, and the BADD (BAsic Defuzzification Distribution) transformation. This transformation plays a central role in the development of defuzzification procedures, the aggregation of elements in a fuzzy subset to obtain one representative element. We suggest the use of the BADD transformation to generate a class of OWA like aggregation operators, denoted BADD-OWA operators. We show that while these BADD-OWA operators have some interesting properties, they fail to be monotonic. We next use another family of defuzzification operators, called SLIDE, to generate another class of OWA operators. These S-OWA operators provide two subfamilies of OWA operators, one Or-like and the other And-Like.
引用
收藏
页码:297 / 316
页数:20
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