A soft computing method of performance evaluation with MCDM based on interval-valued fuzzy numbers

• Published in: Applied soft computing 2012, Vol.12 (1), p.476-485
• Main Authors: Kuo, Ming-Shin, Liang, Gin-Shuh
• Format: Article
• Language: English
• Subjects: Fuzzy sets; Interval-valued fuzzy sets; MCDM; Performance evaluation; VIKOR
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2011.08.020

This study presented a new performance evaluation method for tackling fuzzy multicriteria decision-making (MCDM) problems based on combining VIKOR and interval-valued fuzzy sets. The performance evaluation problem often exists in complex administrative processes in which multiple evaluation criteria, subjective/objective assessments and fuzzy conditions have to be taken into consideration simultaneously in management. Here, the subjective, imprecise, inexact and uncertain evaluation processes are modeled as fuzzy numbers by means of linguistic terms, as fuzzy theory can provide an appropriate tool to deal with such uncertainties. However, the presentation of linguistic expressions in the form of ordinary fuzzy sets is not clear enough [15,21]. Interval-valued fuzzy sets can provide more flexibility [4,14] to represent the imprecise/vague information that results, and it can also provide a more accurate modeling. This paper presents the interval-valued fuzzy VIKOR, which aims to solve MCDM problems in which the weights and performances of criteria are unequal by using the concepts of interval-valued fuzzy sets. A case study for evaluating the performances of three major intercity bus companies from an intercity public transport system is conducted to illustrate the effectiveness of the method.