A New Sign Distance-Based Ranking Method for Fuzzy Numbers

• Main Authors: Tay, K.M, Kok, Chin Chai, Chee, Peng Lim
• Format: E-Article
• Language: English
• Published: Springer International Publishing Switzerland 2015
• Subjects: Q Science (General)
• Online Access: http://ir.unimas.my/id/eprint/8145/1/A%20new%20sign%20distance-based%20ranking%20method%20for%20fuzzy%20numbers.pdf; http://ir.unimas.my/id/eprint/8145/; http://link.springer.com/chapter/10.1007%2F978-3-319-13356-0_5

In this paper, a new sign distance-based ranking method for fuzzy numbers is proposed. It is a synthesis of geometric centroid and sign distance. The use of centroid and sign distance in fuzzy ranking is not new. Most existing methods (e.g., distance-based method [9]) adopt the Euclidean distance from the origin to the centroid of a fuzzy number. In this paper, a fuzzy number is treated as a polygon, in which a new geometric centroid for the fuzzy number is proposed. Since a fuzzy number can be represented in different shapes with different spreads, a new dispersion coefficient pertaining to a fuzzy number is formulated. The dispersion coefficient is used to fine-tune the geometric centroid, and subsequently sign distance from the origin to the tuned geometric centroid is considered. As discussed in [5-9], an ideal fuzzy ranking method needs to satisfy seven reasonable fuzzy ordering properties. As a result, the capability of the proposed method in fulfilling these properties is analyzed and discussed. Positive experimental results are obtained.