Author:
Uehara Kiyohiko, ,Hirota Kaoru,
Abstract
Fuzzy inference in the past and its future prospects are described to further promote research in the field: First, the basic methods of fuzzy inference are introduced. Then, the progress of fuzzy inference is reviewed, showing its remarkable achievements, especially in industries. A consideration of fuzzy inference is presented from operational viewpoints. It provides a key to creating fuzzy-inference methods in the future. The growing research area of fuzzy inference is also introduced in order to discuss a current direction, reflecting the consideration mentioned above. Moreover, some future prospects on fuzzy inference are presented, which are expected to stimulate research.
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
Reference80 articles.
1. L. A. Zadeh, “Outline of a New Approach to the Analysis of Complex Systems and Decision Processes,” IEEE Trans. Syst. Man Cybern., Vol.SMC-3, No.1, pp. 28-44, 1973.
2. E. H. Mamdani, “Applications of Fuzzy Algorithms for Control of Simple Dynamic Plant,” Proc. of Institution of Electrical Engineers (IEE), Vol.121, No.12, pp. 1585-1588, Dec. 1974.
3. T. Takagi and M. Sugeno, “Fuzzy Identification of Systems and its Applications to Modeling and Control,” IEEE Trans. Fuzzy Systems, Vol.SMC-15, No.1, pp. 116-132, 1985.
4. L. P. Holmblad and J. J. Ostergaard, “Control of a Cement Kiln by Fuzzy Logic,” Fuzzy Information and Decision Processes (M. M. Gupta and E. Sanchez, eds.), North-Holland, Amsterdam, pp. 389-399, 1982.
5. S. Yasunobu and S. Miyamoto, “Automatic Train Operation System by Predictive Fuzzy Control,” Industrial Applications of Fuzzy Control (M. Sugeno, ed.), North-Holland, Amsterdam, pp. 1-18, 1985.
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