Integrating modified Delphi method with fuzzy AHP for optimal power substation location selection

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2013-10-01 DOI:10.1504/IJMCDM.2013.056654
G. Kabir, M. Hasin
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引用次数: 33

Abstract

Evaluation and selection of power substation location is an important strategic decision-making problem for both public and private sector. The multi-dimensional, multicriteria nature of the power substation location problem limits the usefulness of any particular single objective model. Studies have shown that electromagnetic radiations emanating from the high voltage lines and substations, pose serious adverse health consequences to living beings. In this study, social, technological, economical, environmental and site characteristics factors and sub-criteria, have been derived to make the optimal power substation location selection decision more realistic and effectual. In this paper, an improved and more appropriate power substation location evaluation and selection model has been developed by integrating modified Delphi method with fuzzy analytic hierarchy process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results.
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将改进的德尔菲法与模糊层次分析法相结合进行变电站的最优选址
变电站选址评估与选择是公共和私营部门的重要战略决策问题。变电站选址问题的多维性、多准则性限制了任何特定单一目标模型的有效性。研究表明,高压线路和变电站产生的电磁辐射对生物的健康造成严重的不良后果。本文推导了社会、技术、经济、环境和场址特征等因素及其子准则,使变电所的最优选址决策更加现实有效。本文将改进的德尔菲法与模糊层次分析法相结合,建立了一种更适合变电站选址的改进模型。给出了一个数值例子来证明所提出方法的适用性和性能,然后进行了灵敏度分析来讨论和解释结果。
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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