Fuzzy Soft Bi-partite Graph and its Application in Employee Selection for An Organisation
K. Malathy1, S. Meenakshi2
1K. Malathy, Research Scholar, Department of Mathematics, VISTAS, Chennai (Tamil Nadu), India.
2Meenakshi, Associate Professor, Department of Mathematics, VISTAS, Chennai (Tamil Nadu), India.
Manuscript received on 09 February 2019 | Revised Manuscript received on 05 April 2019 | Manuscript Published on 28 April 2019 | PP: 155-159 | Volume-7 Issue-5C February 2019 | Retrieval Number: E10380275C19/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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 sets and soft sets are two different tools for representing uncertainty and vagueness. A fuzzy soft set is a mapping from parameter set to the fuzzy subsets of universe. Fuzzy soft set theory provides a parameterized point of view for uncertainty modeling and soft computing model. In this paper we discuss the notions of fuzzy soft bi-partite graph, Size and degree of fuzzy softbi-partite graph and investigating the application of Fuzzy soft Bi-partite graph in Employee selection for an Organisation.
Keywords: Fuzzy Soft Graph, Fuzzy Soft Bi-Partite Graph, and Size And Degree of Fuzzy Soft Bi-Partite Graph.
Scope of the Article: Cryptography and Applied Mathematics