Title :
A New Similarity Measure of Generalized Fuzzy Numbers Based on Geometric-mean Averaging Operator
Author_Institution :
Nat. United Univ., Miao-Li
Abstract :
This study presents a new similarity measure based on the geometric-mean averaging operator to handle the similarity measure problems of generalized fuzzy numbers. Some properties of the proposed similarity measure are demonstrated, and 26 sets of generalized fuzzy numbers are used to compare the proposed method with existing similarity measures. Comparison results indicate that the proposed similarity measure is better than existing methods.
Keywords :
fuzzy set theory; mathematical operators; number theory; generalized fuzzy number; geometric-mean averaging operator; similarity measure problem; Decision making; Fuzzy sets; Fuzzy systems; Information management; Risk analysis;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681961