一种用于医疗保健系统评估的新型IMF SWARA-FDWGA-PESTEL分析

Q1 Engineering
Nikolina Vojinovic, Željko Stević, I. Tanackov
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引用次数: 24

摘要

决策是一个非常流行的领域,有许多成熟的方法。然而,仍然存在创建新颖的集成模型的需要,如本文所述。提出了一种新型的综合改进模糊逐步权重评价比分析(IMF SWARA)方法、模糊Dombi加权几何平均(FDWGA)算子和PESTEL (P-Political, E-Economic, S-Social, T-Technological, E-Environmental, L-Legal)模型。5位决策者(dm)评估了PESTEL分析的6个主要元素和30多个元素(每组5个)。在开发的模型的基础上,我们总共创建了35个模型。基于IMF SWARA方法和FDWGA的PESTEL分析结果显示,法律和经济因素是最重要的参数,环境因素排在最后。此外,所开发的集成模型的有效性也得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel IMF SWARA-FDWGA-PESTEL Analysis For Assessment Of Healthcare System
Decision-making represents a very popular field with many developed approaches. However, still exists the need for the creation of novel integrated models such as well is the case in this paper. The novel integrated Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA) method, Fuzzy Dombi weighted geometric averaging (FDWGA) operator and PESTEL (P-Political, E-Economic, S-Social, T-Technological, E-Environmental, L-Legal) model has been developed. Five decision-makers (DMs) have evaluated six main elements of the PESTEL analysis and 30 elements more (five for each group). In total, we have created 35 models based on the developed model. Results of PESTEL analysis based on IMF SWARA method and FDWGA shows that legal and economic factors represent the most significant parameters, while last placed belong environmental group. Also, the usefulness of the developed integrated model has been demonstrated.
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来源期刊
CiteScore
7.90
自引率
0.00%
发文量
25
审稿时长
15 weeks
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