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An intuitionistic fuzzy DEMATEL methodology for prioritising the components of SWOT matrix in the Iranian insurance industry

机译:一种直观的模糊DEMATEL方法,用于对伊朗保险业中SWOT矩阵的分量进行优先级排序

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摘要

Strengths, weaknesses, opportunities and threats (SWOT) analysis is one of the most significant analytic tools for defining corporate strategies. In spite of its popularity and common use, it has many drawbacks such as lack of quantitative basis for identifying the most important internal and external factors. In this paper, we propose a methodology based on decision-making trial and evaluation laboratory (DEMATEL) technique which can deal with the causal relationships among factors to overcome this problem. Also, in order to embrace the vagueness of human's subjective judgments we take advantage of intuitionistic fuzzy sets (IFS) theory. Finally, we applied our methodology in one of the Iranian insurance company to determine the most important components of SWOT matrix. The results determined 15 prioritised components of SWOT matrix out of 23 elements which were previously identified by our expert team. The resulting components can be utilised for defining effective strategies of the case company.
机译:优势,劣势,机会和威胁(SWOT)分析是定义公司战略的最重要的分析工具之一。尽管它广受欢迎和普遍使用,但它有许多缺点,例如缺乏确定最重要的内部和外部因素的定量依据。在本文中,我们提出了一种基于决策试验和评估实验室(DEMATEL)技术的方法,该方法可以处理各种因素之间的因果关系,从而克服该问题。另外,为了适应人类主观判断的模糊性,我们利用直觉模糊集(IFS)理论。最后,我们将方法论应用于伊朗一家保险公司中,以确定SWOT矩阵的最重要组成部分。结果从我们的专家团队先前确定的23个元素中确定了SWOT矩阵的15个优先组件。生成的组件可用于定义案例公司的有效策略。

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