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JACIII Vol.21 No.1 pp. 13-19
doi: 10.20965/jaciii.2017.p0013
(2017)

Invited Paper:

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Fuzzy Inference: Its Past and Prospects

Kiyohiko Uehara* and Kaoru Hirota**

*Ibaraki University
Hitachi 316-8511, Japan

**Beijing Institute of Technology
Beijing 100081, China

Received:
October 9, 2016
Accepted:
December 19, 2016
Published:
January 20, 2017
Creative Commons License
Keywords:
fuzzy inference, fuzzy logic, fuzzy control, type-2 fuzzy set, deep learning
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.
Cite this article as:
K. Uehara and K. Hirota, “Fuzzy Inference: Its Past and Prospects,” J. Adv. Comput. Intell. Intell. Inform., Vol.21 No.1, pp. 13-19, 2017.
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