Ranking alternatives with fuzzy weights using maximizing set and minimizing set
β Scribed by P. Anand Raj; D. Nagesh Kumar
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 601 KB
- Volume
- 105
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
β¦ Synopsis
Ranking alternatives (both qualitative as well as quantitative) in a multicriterion environment, employing experts opinion (preference structure) using fuzzy numbers and linguistic variables, are presented in this paper. Fuzzy weights (#i) of alternatives (Ai) are computed using standard fuzzy arithmetic. Concept of maximizing set and minimizing set is introduced to decide total utility or ordering value of each of the alternatives. A numerical example is provided at the end to illustrate the method. ~-
π SIMILAR VOLUMES
Fuzzy sets theory may be used to solve multiple-attribute decision problems under uncertainty. Key Word index--Decision theory; fuzzy sets; rating; multiple-attribute decision problems; multiple-objective decision problems. Snmmm'y--A method is proposed to deal with multiplealternative decision pr
In the article above, Hussein characterized the convex vector optimization problem and specified the concept of an e-possibly optimal solution for the parametric approach with possibilistic data. However, there is some confusion and error in the article. @~ 1997 Elsevier Science B.V.