Group Replacement Strategy under Fuzzy Methods
P. Kannagi1, G. Uthra2
1P. Kannagi, Research Scholar, Assistant Professor, Pachaiyappa’s College, Chennai (Tamil Nadu), India.
2G. Uthra, P.G. Research, Department of Mathematics, University of Madras, Chennai (Tamil Nadu), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 30 December 2019 | PP: 250-254 | Volume-9 Issue-1S5 December 2019 | Retrieval Number: A10601291S52019/19©BEIESP | DOI: 10.35940/ijeat.A1060.1291S519
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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: Intuitionistic Fuzzy Numbers play an active role in finding an optimal solution for replacement problems under vague and uncertain situations. This paper gives a group replacement policy under fuzzy environment. Here all the costs and the number of units are taken as Triangular Intuitionistic Fuzzy Numbers (TIFNs). An example is used for illustration of the policy.
Keywords: Intuitionistic Fuzzy Set, Triangular Intuitionistic Fuzzy Numbers, Group Replacement Policy.
Scope of the Article: Fuzzy Logics