Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2019.1646146
Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure
Jun Liu
; School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing, China
Mengtian Wang
; School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing, China
Pan Xu
; School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing, China
Shouzhen Zeng
; School of Business, Ningbo University, Ningbo, China
Meiling Liu
; School of Business, Zhejiang Wanli University, Ningbo, China
Sažetak
This study aims to integrate the intuitionistic linguistic multi-attribute decision making (MADM) method which builds upon an integrated distance measure into supplier evaluation and selection problems. More specifically, an intuitionistic linguistic integrated distance measure based on ordered weighted averaging operator (OWA) and weighted average approach is presented and applied. The desirable characteristics and families of the developed distance operator are further explored. In addition, based on the proposed distance measure, a supplier selection problem for an automobile factory is used to test the practicality of its framework. The effectiveness and applicability of the presented framework for supplier selection are examined by carrying comparative analysis against the existing techniques of aggregation.
Ključne riječi
Intuitionistic linguistic set; integrated distance measure; decision making; OWA operator; supplier selection
Hrčak ID:
229704
URI
Datum izdavanja:
22.1.2019.
Posjeta: 644 *