Enhancing PROMETHEE method with intuitionistic fuzzy soft sets |
| |
| Authors: | Feng Feng Zeshui Xu Hamido Fujita Meiqi Liang |
| |
| Affiliation: | 1. Department of Applied Mathematics, School of Science, Xi'an University of Posts and Telecommunications, Xi'an, China;2. Business School, Sichuan University, Chengdu, China;3. Faculty of Information Technology, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Vietnam
Faculty of Software and Information Science, Iwate Prefectural University, Takizawa, Iwate, Japan |
| |
| Abstract: | The notion of intuitionistic fuzzy soft sets (IFSSs) provides an effective tool for solving multiple attribute decision making with intuitionistic fuzzy information. The most crucial issue in decision making based on IFSSs is how to derive the ranking of alternatives from the information quantified in terms of intuitionistic fuzzy values. In this study, we propose a new extension of the preference ranking organization method for enrichment evaluation (PROMETHEE), by taking advantage of IFSSs. In addition to presenting a myriad of new notions, such as intuitionistic fuzzy membership (or nonmembership) deviation matrices, intuitionistic fuzzy membership (or nonmembership) preference matrices, and aggregated intuitionistic fuzzy preference matrices, we put more emphasis on the construction of three distinct preference structures and related utility functions on the corresponding weakly ordered sets by considering the positive, negative, and net flows of the alternatives based on the aggregated intuitionistic fuzzy preference matrix. We present a new algorithm for solving multiple attribute decision-making problems with the extended PROMETHEE method based on IFSSs. Moreover, a benchmark problem concerning risk investment is investigated to give a comparative analysis and show the feasibility of our approach. |
| |
| Keywords: | decision making intuitionistic fuzzy set outranking PROMETHEE soft set |
|
|
