Fuzzy weighted average: A max-min paired elimination method

被引：70

作者：

Guh, YY ^{[1
]}

Hon, CC ^{[1
]}

Wang, KM ^{[1
]}

Lee, ES ^{[1
]}

机构：

[1] YUAN ZE INST TECHNOL,DEPT IND ENGN,CHUNGLI,TAIWAN

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 1996年 / 32卷 / 08期

关键词：

fuzzy weighted average; multiple criteria decision making; multiple attribute decision making; extension principle;

D O I：

10.1016/0898-1221(96)00171-X

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

By the use of max-min paired elimination, an efficient method for obtaining the fuzzy weighted average (FWA) was developed. This approach is much more efficient than either the approach developed by Dong and Wong [1] or the improved approach developed by Lieu and Wang [2]. The computational requirements for the method of Dong and Wong are 2(2n) and the largest computational requirements for the improved method of Lieu and Wang are 2+n(n+1). The computational requirements for the proposed approach are proportional to the problem size n and the total computational requirements are 2(n-1). The same example used by Dong and Wong is used to illustrate the approach. In addition, a more complicated problem is also solved.

引用

页码：115 / 123

页数：9