A note on ranking generalized fuzzy numbers

• Published in: Expert systems with applications 2012-06, Vol.39 (7), p.6454-6457
• Main Authors: Xu, Peida, Su, Xiaoyan, Wu, Jiyi, Sun, Xiaohong, Zhang, Yajuan, Deng, Yong
• Format: Article
• Language: English
• Subjects: Decision making; Expert systems; Fuzzy; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Generalized fuzzy numbers; Modification; Ranking; Ranking fuzzy numbers; Risk
• ISSN: 0957-4174; 1873-6793
• DOI: 10.1016/j.eswa.2011.12.062

► We review Chen & Sanguansat’s generalized fuzzy numbers ranking method (2011). ► We proposed a modified method based on Chen and Sanguansat’s method. ► We compare the proposed method with others through examples. ► The modified method can be an improvement of Chen and Sanguansat’s method (2011). Ranking fuzzy numbers plays an important role in decision making under uncertain environment. Recently, Chen and Sanguansat (2011) [Chen, S. M. & Sanguansat, K. (2011). Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers. Expert Systems with Applications, 38(3), (pp. 2163–2171)] proposed a method for ranking generalized fuzzy numbers. It considers the areas on the positive side, the areas on the negative side and the heights of the generalized fuzzy numbers to evaluate ranking scores of the generalized fuzzy numbers. Chen and Sanguansat’s method (2011) can overcome the drawbacks of some existing methods for ranking generalized fuzzy numbers. However, in the situation when the score is zero, the results of the Chen and Sanguansat’s ranking method (2011) ranking method are unreasonable. The aim of this short note is to give a modification on Chen and Sanguansat’s method (2011) to make the method more reasonable.