Title :
Ranking fuzzy numbers by their expansion center
Author :
Zhenyuan Wang ; Zhang-Westman, Li
Author_Institution :
Dept. of Math., Univ. of Nebraska at Omaha, Omaha, NE, USA
Abstract :
Based on the area between the curve of the membership function and the horizontal real axes, a new index, called the expansion center for fuzzy numbers is proposed. An intuitive and reasonable ranking method for fuzzy numbers based on their expansion center is also established. This new ranking method is useful in fuzzy decision making and fuzzy data mining.
Keywords :
data mining; decision making; fuzzy set theory; expansion center; fuzzy data mining; fuzzy decision making; horizontal real axes; membership function; ranking fuzzy numbers; Computers; Data mining; Decision making; Fuzzy sets; Optimization; Vectors; fuzzy decision making; fuzzy numbers; ranking fuzzy numbers; soft computation; total ordering;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891729