Soft expert approach in rough fuzzy set and its application in MCDM problem

Authors

  • Srinivasan Vijayabalaji * Department of Mathematics, University College of Engineering Panruti, Tamilnadu, India. https://orcid.org/0000-0002-9905-7730
  • Shanmugam Kalaiselvan Department of Mathematics, University College of Engineering Panruti, Tamilnadu, India.
  • Bijan Davvaz Department of Mathematical Sciences, Yazd University, Yazd, Iran.
  • Said Broumi Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco.

https://doi.org/10.48313/uda.v1i1.29

Abstract

One of the interesting parts in the study of uncertainty is to learn about their fusion models. In particular, while studying about fuzzy set and rough set, one may be interested to know about their joint models. Rough fuzzy sets and fuzzy rough sets are those types. After the introduction of soft sets, many research developments started emerging both in the theoretical and application prospective manner. Though this theory sounds good, it has its own limitation in describing expert opinion. To overcome this difficulty the novel idea of soft expert set was being developed. This paper attempts to inter-relate soft expert set with rough fuzzy set in theoretical aspect. An approach to decision-making situation based on the soft expert rough fuzzy set model is also given in a lucid manner..

Keywords:

Fuzzy set , SE set, SEA-space, SER-approximations

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Published

2024-11-12

Issue

Vol. 1 No. 1 (2024): Uncertainty Discourse and Applications

Section

Articles

How to Cite

Vijayabalaji, S. ., Kalaiselvan, S. ., Davvaz, B. ., & Broumi, S. . (2024). Soft expert approach in rough fuzzy set and its application in MCDM problem. Uncertainty Discourse and Applications, 1(1), 121-139. https://doi.org/10.48313/uda.v1i1.29

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