CODAS method using Z-fuzzy numbers

Article type: Research Article

Authors: Tüysüz, Nurdan^{a; b} | Kahraman, Cengiz^{b; *}

Affiliations: [a] Istanbul Gelisim University, Faculty of Engineering and Architecture, Industrial Engineering Department, Avcilar, Istanbul, Turkey | [b] Istanbul Technical University, Industrial Engineering Department, Besiktas, Istanbul, Turkey

Correspondence: [*] Corresponding author. Cengiz Kahraman, Istanbul Technical University, Industrial Engineering Department, Besiktas, Istanbul, Turkey. E-mail: [email protected].

Abstract:  CODAS is a new multicriteria decision making method based on the maximum distances to negative ideal solutions, which are obtained from Euclidean and Taxicab distances. This paper develops a Z-fuzzy CODAS method based on restriction and reliability functions under uncertainty. We obtain the criteria weights from the Z-fuzzy pairwise comparison matrix. An illustrative application to supplier selection problem is also given. A comparative analysis is presented with ordinary fuzzy simple additive weighting (SAW) method.

Keywords: CODAS, Z-fuzzy, restriction function, reliability, pairwise comparison, supplier selection, SAW

DOI: 10.3233/JIFS-182733

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1649-1662, 2020