We use the extended proportional spherical fuzzy (SF) analytic hierarchy method (AHP) method in the prioritization of the considered criteria in a facility location selection problem. A problem with the extensions of ordinary fuzzy sets is that they require decimal numbers for membership, non-membership and indecision degrees of an element from the experts, which cannot be easily determined. The proportional fuzzy sets ease this process and make it more correct. Location of raw materials, proximity to markets, labor factors, community considerations, and availability of utilities are the considered criteria of the location selection problem. The proposed PSF AHP could determine the weights more consistently and efficiently than the existing fuzzy AHP approaches.
机构:
Istanbul Tech Univ, Dept Ind Engn, Istanbul, Turkey
Istanbul Kultur Univ, Dept Ind Engn, Istanbul, TurkeyIstanbul Tech Univ, Dept Ind Engn, Istanbul, Turkey
Gundogdu, Fatma Kutlu
Kahraman, Cengiz
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机构:
Istanbul Tech Univ, Dept Ind Engn, Istanbul, TurkeyIstanbul Tech Univ, Dept Ind Engn, Istanbul, Turkey
机构:
Istanbul Tech Univ, Dept Ind Engn, Istanbul, Turkey
Istanbul Kultur Univ, Dept Ind Engn, Istanbul, TurkeyIstanbul Tech Univ, Dept Ind Engn, Istanbul, Turkey
Gundogdu, Fatma Kutlu
Kahraman, Cengiz
论文数: 0引用数: 0
h-index: 0
机构:
Istanbul Tech Univ, Dept Ind Engn, Istanbul, TurkeyIstanbul Tech Univ, Dept Ind Engn, Istanbul, Turkey