Title :
Neuro-fuzzy data analysis and its future directions
Author :
Ichihashi, Hayato ; Turksen, I.B.
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Abstract :
In this paper, using neuro-fuzzy approach, two quantification methods of pairwise comparisons are presented in order to derive the associated weights of different objects. A simplified fuzzy reasoning model is obtained in the form of Gaussian radial basis functions. The psychological sensation responses of human beings to minute vibrations are analysed by the neuro-fuzzy approach. The proposed approach is compared with Guttman´s method and Saaty´s analytic hierarchy process. In our two neuro-fuzzy approaches, the psychological values are obtained with the interval and ratio scale properties
Keywords :
backpropagation; data analysis; feedforward neural nets; fuzzy neural nets; fuzzy set theory; inference mechanisms; learning systems; psychology; Gaussian radial basis functions; Guttman´s meth; Saaty´s analytic hierarchy process; error backpropagation; fuzzy reasoning model; human beings; neural network; neuro-fuzzy data analysis; pairwise comparisons; psychological sensation responses; ratio scale; Artificial neural networks; Data analysis; Educational institutions; Fuzzy reasoning; Gradient methods; Humans; Industrial engineering; Least squares approximation; Psychology; Sections;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409942
