DocumentCode :
3598875
Title :
Reasonings of fuzzy arithmetical operations with Second Function Principle under generalized trapezoidal fuzzy numbers
Author :
Chen, Shan-Huo ; Wang, Chien-Chung
Author_Institution :
Dept. of Inf. Manage., Ching Yun Univ., Jungli, Taiwan
Volume :
1
fYear :
2011
Firstpage :
262
Lastpage :
266
Abstract :
The main purpose of this paper is to find the reasons why we use the Second Function Principle as the fuzzy arithmetical operations in the field of trapezoidal fuzzy numbers. Generalized trapezoidal fuzzy numbers are applied on data analysis, artificial intelligence, and decision making widely. Until now, if we want to find the optimization of a fuzzy equality, usually we have to defuzzify the operation result of the fuzzy equation. Therefore, we have to find a nice defuzzifing method. Here we use the graded mean integration representation method for representing a generalized trapezoidal fuzzy number. We also have proved some representing properties of generalized trapezoidal fuzzy numbers after the fuzzy arithmetical operations with Second Function Principle. The results show that this representation method is better than other methods. Moreover, we use this representation value to define the ranking, distance, similarity absolute value, and fuzzy distance as a excellence ideas.
Keywords :
computational geometry; fuzzy set theory; integration; number theory; artificial intelligence; data analysis; decision making; defuzzifing method; distance; fuzzy arithmetical operations; fuzzy distance; fuzzy equality; fuzzy equation; generalized trapezoidal fuzzy numbers; graded mean integration representation method; ranking; second function principle; similarity absolute value; Bismuth; Cybernetics; Decision making; Educational institutions; Fuzzy systems; Learning systems; Machine learning; Defuzzification; Function principle; Fuzzy number; Graded mean integration representation; Representation; Second function principle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
ISSN :
2160-133X
Print_ISBN :
978-1-4577-0305-8
Type :
conf
DOI :
10.1109/ICMLC.2011.6016699
Filename :
6016699
Link To Document :
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