R-fuzzy sets and grey system theory

Singh Khuman, Arjab; Yang, Yingjie; John, Robert; Liu, Sifeng

Abstract

This paper investigates the use of grey theory to en- hance the concept of an R-fuzzy set, with regards to the precision of the encapsulating set of returned significance values. The use of lower and upper approximations from rough set theory, allow for an R-fuzzy approach to encapsulate uncertain fuzzy membership values; both collectively generic and individually specific. The authors have previously created a significance measure, which when combined with an R-fuzzy set provides one with a refined approach for expressing complex uncertainty. This pairing of an R-fuzzy set and the significance measure, replicates in part, the high detail of uncertainty representation from a type-2 fuzzy approach, with the relative ease and objectiveness of a type-1 fuzzy approach. As a result, this new research method allows for a practical means for domains where ideally a generalised type-2 fuzzy set is more favourable, but ultimately unfeasible due to the subjectiveness of type-2 fuzzy membership values. This paper focuses on providing a more effective means for the creation of the set which encapsulates the returned degrees of significance. Using grey techniques, rather than the arbitrary configuration of the original work, the result is a high precision set for encapsulation, with the minimal configuration of parameter values. A worked example is used to demonstrate the effectiveness of using grey theory in conjunction with R-fuzzy sets and the significance measure.

Citation

Singh Khuman, A., Yang, Y., John, R., & Liu, S. (2016, October). R-fuzzy sets and grey system theory. Presented at 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016)

• Conference Name: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016)
• Start Date: Oct 9, 2016
• End Date: Oct 12, 2016
• Acceptance Date: Jun 1, 2016
• Publication Date: Feb 9, 2017
• Deposit Date: Jun 8, 2016
• Publicly Available Date: Feb 9, 2017
• Peer Reviewed: Peer Reviewed
• Book Title: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
• DOI: https://doi.org/10.1109/SMC.2016.7844949
• Public URL: https://nottingham-repository.worktribe.com/output/787515
• Related Public URLs: http://www.ieeesmc.org/publications/enewsletter/338-2016-ieee-international-conference-on-systems-man-and-cybernetics; http://www.smc2016.org/
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• Contract Date: Jun 8, 2016