污染河流中小型水轮机网络多准则优化设计框架

Q4 Business, Management and Accounting
M. Hernández, Edgar Enrique Pérez Pantoja, B. Reyes
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引用次数: 3

摘要

这项工作提出了小型水轮机网络多标准设计框架的发展。该框架适用于一些可用于安装涡轮机的河流受到污染,以及该地区存在几个对电力有不同需求的城镇的情况。基于决策分析-价值聚焦思维方法,通过客观澄清和属性构建,将社会、环境和经济因素纳入评价框架。这种方法对于负责设计小型水轮机网络的公共或政府实体应该是有用的。最后,将该框架应用于一个案例研究区域,并讨论了它作为一种表示和澄清决策实体目标的方法的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for the optimal multicriteria design of networks of small hydro turbines in polluted streams
This work presents the development of a framework for the multicriteria design of a network of small hydro turbines. The framework is applied to the case in which some of the rivers available for turbine installation are polluted and several towns, with varying urges for electricity, are present in the area. Based on a decision analysis-value focused thinking approach, and through objective clarification and attribute construction, the proposed framework aims to include social, environmental and economical concerns into the evaluation. The approach should be useful for a public or governmental entity in charge of the design of a network of small hydro turbines. Finally, the framework is applied to a case-study region, and its usefulness as a way of representing and clarifying the objectives of the deciding entity is discussed.
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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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