DocumentCode :
1750601
Title :
Environmental valuation by using fuzzy-neural system realizing the method II of fuzzy quantification
Author :
Okuhara, K. ; Fujita, H. ; Tanaka, T.
Author_Institution :
Dept. of Manage. & Inf. Sci., Hiroshima Prefecture Univ., Japan
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
2792
Abstract :
This paper propose a system for evaluating environments using the method II of fuzzy quantification. We first give outlines of the method II of fuzzy quantification. It is known, however, that a usual canonical correlation analysis including the method II of fuzzy quantification can not be applied when Cholesky decomposition can not be calculated. In order to correspond to such a case, we derive a fuzzy neural network which can execute the method II of fuzzy quantification, and incorporate the fuzzy neural network into the proposed system
Keywords :
ecology; fuzzy neural nets; learning (artificial intelligence); public administration; canonical correlation; fuzzy neural network; fuzzy quantification; learning; membership functions; Analysis of variance; Cost accounting; Environmental management; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Gaussian distribution; Information management; Neural networks; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.943668
Filename :
943668
Link To Document :
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