Evolution of Concentric Fuzzy Hypergraph for Inclusive Decision Making
Nivetha Martin1, I. Pradeepa2, P. Pandiammal3
1Nivetha Martin, Department of Mathematics, Arul Anandar College Autonomous, Karumathur (Tamil Nadu), India.
2I.Pradeepa, Department of Mathematics, Arul Anandar College Autonomous, Karumathur (Tamil Nadu), India.
3P.Pandiammal, Department of Mathematics, GTN Arts College Autonomous, Dindigul (Tamil Nadu), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 1986-1990 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F11990986S319/19©BEIESP | DOI: 10.35940/ijeat.F1199.0986S319
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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: Fuzzy hypergraphs plays a pivotal role in reaching concrete resolutions at times when the circumstances of making decisions is characterized by uncertainty. Decision making is an integrated process involving the dominance of cognition in the nature of decision making environment and the associated factors. The process of making managerial decisions centres on state of affairs, which can be tackled with the formulation of Concentric Fuzzy Hypergraph, an extended concept of fuzzy hypergraph to arrive at compatible and feasible pronouncements. The notion of Concentric Fuzzy Hypergraph is introduced and a comprehensive decision making model with the integration of Fuzzy Cognitive Maps is proposed. This research work outlines the conceptual framework of Concentric Fuzzy hypergraph and presents a comparative analysis of concentric fuzzy hypergraphic approach with Fuzzy Cognitive maps over fuzzy hypergraphic approach to justify the efficiency of the former. The idea of concentric fuzzy hypergraph will certainly open new vistas in the field of decision making.
Keywords: Concentric Fuzzy Hypergraph, Decision Making, Fuzzy Hypergraphs, Fuzzy Cognitive Maps.
Scope of the Article: Fuzzy Logics