Simultaneous interpretive structural modelling and weighting (SISMW)

IF 0.7 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Operations Research and Decisions Pub Date : 2022-01-01 DOI:10.37190/ord220106
M. Nasrollahi, Javaneh Ramezani, Mahmoud Sadraei, M. Fathi
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Abstract

Multi-criteria decision-making (MCDM) methods have been implemented in many fields. In the meantime, several methods have been proposed to obtain the weight of the criteria determined by various methods in different ways. In this paper, a new approach, called simultaneous interpretive structural modelling and weighting (SISMW), is proposed to solve a multi-criterion decision-making (MCDM) problem. Using SISMW, the weight of the criteria and the relationship between them could be determined simultaneously. In this approach, like the ISM method, pair comparison between criteria was made by the decision-maker to determine the relationships among the different criteria. With the help of this data, the weight of the criteria, as well as the causal (cause and effect) relationships between them, were determined in 12 steps. The main advantage of this method is that only one stage of data collection is required for obtaining weights and modelling, and so the research process may be faster. This may increase the reliability of the collected data because, in a one-step survey, the impact of time is minimized. This process can be useful for conceptualizing and developing theories to help decision makers understand the problem better.
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同时解释结构建模和加权(SISMW)
多准则决策(MCDM)方法在许多领域得到了应用。同时,提出了几种方法,以不同的方式获得各种方法确定的准则的权重。本文提出了一种求解多准则决策问题的新方法——同步解释结构建模与加权(SISMW)。使用SISMW,可以同时确定标准的权重和它们之间的关系。在这种方法中,与ISM方法一样,决策者对标准进行配对比较,以确定不同标准之间的关系。在这些数据的帮助下,标准的权重以及它们之间的因果关系(因果关系)分12步确定。该方法的主要优点是只需要一个阶段的数据收集就可以获得权重和建模,因此研究过程可能会更快。这可能会增加所收集数据的可靠性,因为在一步调查中,时间的影响被最小化。这个过程有助于概念化和发展理论,以帮助决策者更好地理解问题。
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来源期刊
Operations Research and Decisions
Operations Research and Decisions OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
1.00
自引率
25.00%
发文量
16
审稿时长
15 weeks
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