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Neutrosophic Hesitant Fuzzy Optimization Approach for Multiobjective Programming Problems

Ahmad, F and Mathirajan, M (2022) Neutrosophic Hesitant Fuzzy Optimization Approach for Multiobjective Programming Problems. In: International Conference on Intelligent and Fuzzy Systems, INFUS 2022, 19 - 21 July 2022, Izmir, pp. 751-762.

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Official URL: https://doi.org/10.1007/978-3-031-09176-6_83

Abstract

This paper presents the multiobjective programming problems (MOPPs) while considering the neutrosophic hesitant fuzzy situation. The indeterminacy and hesitancy degrees are incorporated in MOPPs and introduce the neutrosophic hesitant fuzzy multiobjective programming problems (NHFMOPPs). Three different membership functions determine the marginal evaluation for each objective function. Additionally, a new solution approach for solving the NHFMOPPs is investigated. The proposed method is applied to the manufacturing system problem. At last, conclusions along with a comparative study are discussed in the paper. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Item Type: Conference Paper
Publication: Lecture Notes in Networks and Systems
Publisher: Springer Science and Business Media Deutschland GmbH
Additional Information: The copyright for this article belongs to the Springer Science and Business Media Deutschland GmbH.
Keywords: Hesitant fuzzy members; Hesitant fuzzy set; Indeterminacy members; Multiobjective optimization; Neutrosophic set
Department/Centre: Division of Interdisciplinary Sciences > Management Studies
Date Deposited: 23 Aug 2022 06:00
Last Modified: 23 Aug 2022 06:00
URI: https://eprints.iisc.ac.in/id/eprint/76186

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