New Significance of Fuzzy Soft Ideal Subhemiring Over T-Norm
1M. Latha, Assistant Professor, Department of Science and Humanities, Coimbatore Institute of Engineering and Technology, Coimbatore (Tamil Nadu), India.
2N. Anitha, Assistant Professor, Department of Mathematics, Periyar University, Salem (Tamil Nadu), India.
Manuscript received on 17 October 2022 | Revised Manuscript received on 22 October 2022 | Manuscript Accepted on 15 November 2022 | Manuscript published on 30 November 2022 | PP: 29-32 | Volume-11 Issue-4, November 2022 | Retrieval Number: 100.1/ijrte.D73231111422 | DOI: 10.35940/ijrte.D7323.1111422
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Molotov’s soft set theory was formerly projected as a wide-ranging mathematical tool designed for dealing in the midst of uncertainty. Mathematical modelling and manoeuvring of various manners of uncertainties have become an increasingly imperative concern in solving intricate exertion take place in a extensive assortment of areas, such as, economies, engineering, medicine, environmental science, and information science. Research on (fuzzy) soft set based decision making has inward bound to a great extent notice in recent years. This document aspire to bestow deeper insights into decision making involving 𝒯 fuzzy soft subhemiring, a hybrid model combining soft subhemiring with ideals. The concept called 𝒯 – fuzzy soft ideal subhemirings of a hemiring is introduced. Using 𝒯-fuzzy soft ideal subhemirings of a hemiring and level subhemiring, product, relations are proposed, and some descriptive are engaged to give you an idea about that the tender obtainable at this time are not only more level-headed except further resourceful in practical applications.
2010 AMS Subject Classification : 03E72, 08A72, 06D72
Keywords: Fuzzy Soft Subhemiring, 𝒯- Fuzzy Soft Subhemiring, 𝒯- Fuzzy Soft Ideal Subhemiring.
Scope of the Article: Fuzzy Logics