Assessment of Livability Indices of Suburban Places of Istanbul by Using Spherical Fuzzy CODAS Method

Abstract

Spherical Fuzzy Sets (SFSs) are characterized by three degree are a membership degree, a non-membership degree and a hesitancy degree satisfying the condition that the square sum of its membership degree and non-membership degree is equal to or less than one, which is a generalization of Pythagorean Fuzzy Sets (PFSs) (Kutlu Gundogdu and Kahraman 2019a). Livability indices help to understand how a place is livable and COmbinative Distance-based ASsessment (CODAS) method computes the Euclidean as the primary measure and Taxicab distances as the secondary measure to assess alternatives based on predetermined criteria. In this paper, CODAS method is extended to its Spherical Fuzzy CODAS version for handling the impreciseness and vagueness in human thoughts. The applicability of the methodology is illustrated through the assessment of livability index of suburban districts. Sensitivity analysis demonstrates the robustness of the decision-making methodology.