Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method

被引:0
作者
Kahraman, Cengiz [1 ]
Onar, Sezi [1 ]
Cebi, Selcuk [2 ]
Oztaysi, Basar [1 ]
机构
[1] Istanbul Tech Univ, Dept Ind Engn Dept, TR-34367 Istanbul, Turkiye
[2] Yildiz Tech Univ, Dept Ind Engn, TR-34349 Istanbul, Turkiye
来源
INTELLIGENT AND FUZZY SYSTEMS, INFUS 2024 CONFERENCE, VOL 1 | 2024年 / 1088卷
关键词
Spherical fuzzy sets; proportional fuzzy sets; AHP;
D O I
10.1007/978-3-031-70018-7_81
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:735 / 744
页数:10
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