Title: Fuzzy weighted average: A max-min paired elimination method
Abstract: 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 Liou and Wang [2]. The computational requirements for the method of Dong and Wong are 22n and the largest computational requirements for the improved method of Liou 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.
Publication Year: 1996
Publication Date: 1996-10-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 80
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