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An extended ISM and MICMAC method under neutrosophic environment

Seyed Mahmood Zanjirchi (Department of Management Science, Yazd University, Yazd, Iran)
Najmeh Faregh (Department of Management Science, Yazd University, Yazd, Iran)

Journal of Advances in Management Research

ISSN: 0972-7981

Article publication date: 3 July 2023

Issue publication date: 10 October 2023

73

Abstract

Purpose

ISM technique is one of the tools of interest in soft operations research. The soft nature of this technique has made inevitable use of indeterminacy theories. The present research attempts to develop ISM technique and MICMAC analysis in a neutrosophic space due to the complexity and uncertainty of the decision-making environment.

Design/methodology/approach

In this study, single-valued triangular neutrosophic numbers is used to develop Neutrosophic ISM (NISM) and Neutrosophic MICMAC (NMICMAC). First, the general algorithm of NISM and NMICMAC is provided. In the following, the complete description of NISM steps including level value determination, Factor Leveling Algorithm and NISM digraph algorithm are presented. Finally, a description of the NMICMAC steps is described.

Findings

An illustrative example – supplier selection problem – is given to verify the effectiveness of the proposed method and in the discussion section; the comparison and analysis of different aspects of the NISM with the previous methods are discussed.

Originality/value

In this study, NISM and NMICMAC are presented for the first time, so that each pairwise comparison judgment is provided as single valued triangular neutrosophic numbers. The development of the model is continued until the final stages of calculations with neutrosophic numbers, and only in the final stage the results are crispy presented. In addition, not only the factors of process are leveled, but at each level the factors are lined up and their importance is determined.

Keywords

Citation

Zanjirchi, S.M. and Faregh, N. (2023), "An extended ISM and MICMAC method under neutrosophic environment", Journal of Advances in Management Research, Vol. 20 No. 4, pp. 758-779. https://doi.org/10.1108/JAMR-01-2023-0022

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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