Execution Proportions of Multi Server Queuing Modelwith Pentagonal Fuzzy Number: DSW Algorithm Approach
K. Usha Prameela1, Pavan Kumar2
1K. Usha Prameela, M.Sc. Degree, From Andhra University Waltair, M.Phil. From Periyar University Salem, Pursuing Ph.D. From KL University, Vaddeswaram (A.P), India.
2Pavan Kumar, Assistant Professor, Department of Mathematics, Koneru Lakshmaiah Education Foundation K L University, Vaddeswaram (A.P), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1047-1051 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5654058719/19©BEIESP
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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: This paper displays a multi-server queuing miniature in fuzzy condition. We accept the inter-arrival(entry) time and service(overhauled) time as pentagon fuzzy numbers, and the arithmetic of interval numbers is enforced. In this proposed model, the idea of the α-cut through DSW calculation is connected to decide the execution proportions.The effectiveness of the proposed model is outlined by fathoming a numerical precedent by thinking about hypothetical information.
Keyword: Queuing Model, Pentagon Fuzzy Numbers, DSW Algorithm, α-cut, execution proportions.
Scope of the Article: Fuzzy Logics