A simple approach to ranking a group of aggregated fuzzy utilities

被引：152

作者：

Chen, CB

Klein, CM

机构：

[1] Department of Industrial Engineering, University of Missouri, Columbia

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 1997年 / 27卷 / 01期

关键词：

D O I：

10.1109/3477.552183

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

When ranking a large quantity of fuzzy numbers, the efficiency. accuracy, and effectiveness of the ranking process is critical. This paper considers the application of ''alpha-cut'' and ''fuzzy arithmetic operations'' to the fuzzy weighted average (FWA) method which can be use to rank aggregated fuzzy utilities (or generalized fuzzy numbers). The purpose of this application is to make the method easier to program and the data easier to manipulate, which results in a more practical method for fuzzy decisions.

引用

页码：26 / 35

页数：10

共 23 条

[1]

[Anonymous], 1992, LECT NOTES ECON M, DOI DOI 10.1007/978-3-642-46768-4_5

[2]

Baldwin J. F., 1979, Fuzzy Sets and Systems, V2, P213, DOI 10.1016/0165-0114(79)90028-9

[3] A REVIEW OF SOME METHODS FOR RANKING FUZZY SUBSETS [J].