Evaluation and ranking of organizational resilience factors by using a two-step fuzzy AHP and fuzzy TOPSIS
type: Item
instance of: scholarly article
title: Evaluation and ranking of organizational resilience factors by using a two-step fuzzy AHP and fuzzy TOPSIS
zbMATH Open document ID: 1407.90211
DOI: 10.1155/2014/418085
author: Danijela Tadić
author: Aleksandar Aleksić
author: Miladin Stefanović
author: Slavko Arsovski
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: We presented a novel fuzzy multicriteria decision making approach to evaluate and rank organizational resilience factors with respect to user preference orders. Due to vagueness of the decision data, the precise numerical data are inadequate for real-life business situations. Human judgements can be expressed by linguistic expressions which are modeled by fuzzy sets. The complexity of the considered problem calls for analytic methods rather than intuitive decisions. Two fuzzy multi-criteria methods are proposed for solving the treated problem: Fuzzy Analytic Hierarchical Process (FAHP) is applied to determine the relative importance of business processes and the relative importance of organizational resilience factors under each business process, and an extension of the fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) is applied to rank the organizational resilience factors. With respect to complexity and the type of considered management problem, we introduce a modified fuzzy decision matrix. The proposed algorithm has efficiently been applied in the assessment of organizational resilience factors to small and medium enterprises of the process industry.
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 91B06
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 90B25
zbMATH DE Number: 7016392
Wikidata QID: Q59066955
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/418085
OpenAlex ID: W1984557798
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description: scientific article; zbMATH DE number 7016392