Multiple-criteria decision analysis

Fuzzy similarity based TOPSIS

The name TOPSIS is shortening from the Technique for Order Performance by Similarity to Ideal Solution. It is based on the idea of forming two ideal solutions (best possible case and worst possible case) and comparing the current alternative to these two. This was done by computing the distances to both ideal solutions and then forming so called closeness coefficient from these distance. Originally it was developed in 1980's. After that several researches have made improved modifications to it e.g. Similarity-based-TOPSIS. Fuzzy extension to Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) was proposed by Chen in 2000. Later fuzzy similarity based approach to Fuzzy TOPSIS and extensions to forming ideal solutions and was proposed. New ways of forming closeness coefficients has also been examined. (Wikipedia).

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Related pages

Similarity-based-TOPSIS | TOPSIS