Title: A review on the interval type-2 fuzzy systems

Authors: Prabhash Chandra; Devendra Agarwal; Praveen Kumar Shukla

Addresses: Department of Computer Science and Engineering, School of Engineering, Babu Banarasi Das University, Lucknow, India ' Department of Computer Science and Engineering, School of Engineering, Babu Banarasi Das University, Lucknow, India ' Department of Computer Science and Engineering, School of Engineering, Babu Banarasi Das University, Lucknow, India

Abstract: Considering the benefits of the human decision making, the efforts have been executed to implement it in machines. The chronic problem addressed in this implementation is the representation and manipulation of human knowledge which is full of uncertainties and imprecision due to its subjective nature. To deal with this problem a strong mathematical framework is investigated known as fuzzy logic. Initially the concept of fuzzy set has been developed by extending the Boolean crisp set logic. Further, type-2 fuzzy systems and interval type-2 fuzzy systems are investigated. This paper reviews the approaches and systems developed under the category of interval type-2 fuzzy systems along with the interpretability and accuracy issues in fuzzy systems.

Keywords: crisp sets; fuzzy sets; T-norm; S-norm; type-2 fuzzy systems; interval type-2 fuzzy systems.

DOI: 10.1504/IJISDC.2020.115168

International Journal of Intelligent Systems Design and Computing, 2020 Vol.3 No.2, pp.117 - 132

Received: 01 Mar 2019
Accepted: 29 Mar 2020
Published online: 21 May 2021 *

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