Title :
Ranking fuzzy numbers by their left and right wingspans
Author :
Zhang-Westman, Li ; Zhenyuan Wang
Author_Institution :
Dept. of Econ., Univ. of Nebraska at Omaha, Omaha, NE, USA
Abstract :
Based on the area between the curve of the membership function and the horizontal real axis, concepts of left and right wingspans are introduced. By them, a new index, called the w-center for fuzzy numbers is proposed. It is continuous with respect to the convergence of fuzzy number sequence. An intuitive and reasonable ranking method for fuzzy numbers based on their w-center is also established. This new ranking method is useful in fuzzy decision making and fuzzy data mining. The paper also points out that, in literature, some ranking methods based on the centroid of fuzzy numbers are not reasonable.
Keywords :
fuzzy set theory; number theory; fuzzy data mining; fuzzy decision making; fuzzy number sequence; fuzzy numbers ranking; horizontal real axis; left wingspans; membership function; reasonable ranking; right wingspans; Convergence; Data mining; Decision making; Educational institutions; Indexes; Noise measurement; Vectors; Fuzzy numbers; centroid; fuzzy decision making; numerical approximation; ranking fuzzy numbers;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608543