Ranking Alternatives under FWA by Riemann Integral Based Mean of Removals
This paper suggests developing membership functions of the final fuzzy evaluation values of alternatives under fuzzy weighted average (FWA), where ratings of alternatives versus qualitative criteria and the importance weights of all criteria are assessed in linguistic values represented by fuzzy numbers. Ranking approach of Riemann integral based mean of removals is applied to solve defuzzification to complete the model. Solving square root of affected quadratic equation through Riemann integral in using mean of removals for obtaining the integral values under membership functions from FWA will be studied. Formulae of ranking approach can be clearly developed, making computation execution of the proposed model more efficient. A numerical example has demonstrated feasibility of the proposed model.
KeywordsRanking FWA Riemann integral Mean of removals
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