Title :
An algorithm to determine fuzzy distance measure
Author :
Ali Beigi, M. ; Hajjari, Tayebeh ; Ghasem Khani, E.
Author_Institution :
Dept. of Math., Islamic Azad Univ., Firoozkooh, Iran
Abstract :
Fuzzy distance measure is an important aspect of decision-making in a fuzzy environment. Since their inception 1965, many researchers have proposed many methods for fuzzy distance measure. However, there is no method, which gives a satisfactory result to all situations. In a paper by Sadi-Nezhad et al. [Fuzzy distance of triangular fuzzy numbers, Journal of Intelligent and Fuzzy Systems (2012)], a fuzzy distance measure is proposed for two triangular fuzzy numbers based on left and right points. In the proposed method the distance between A and A is not zero and the result is unreasonable. In this paper, we present a new algorithm to determine distance between two fuzzy numbers. Moreover, it will be developed in n-dimension spaces. Finally, some numerical examples demonstrate the advantages of the improved method.
Keywords :
algorithm theory; decision making; fuzzy set theory; decision making; fuzzy distance measure; fuzzy environment; triangular fuzzy numbers; Algorithm; Fuzzy Distance; Multi Attribute Decision Making (MADM); Triangular Fuzzy Numbers (TFN);
Conference_Titel :
Fuzzy Systems (IFSC), 2013 13th Iranian Conference on
Conference_Location :
Qazvin
Print_ISBN :
978-1-4799-1227-8
DOI :
10.1109/IFSC.2013.6675613