A model for spatial multicriteria hierarchical clustering

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2016-04-04 DOI:10.1504/IJMCDM.2016.075617
K. Lidouh, Y. D. Smet
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引用次数: 2

Abstract

Research on the problem of multicriteria territory partitioning is at its begin. This is mainly due to the fact that it involves tools from fields that are to this day still young. To answer this shortage, we propose an adaptation of a multicriteria clustering method that takes spatial constraints into account. Two variants are described and tested on an illustrative case. This example deals with the partitioning of the Walloon region in Belgium into clusters with a similar level of well-being as perceived by its inhabitants.
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空间多准则分层聚类模型
多准则区域划分问题的研究才刚刚起步。这主要是由于它涉及的领域的工具到今天还很年轻。为了解决这一不足,我们提出了一种考虑空间约束的多标准聚类方法。描述了两种变体,并在一个说明性案例上进行了测试。这个例子涉及将比利时瓦隆地区划分为具有其居民所感知的相似幸福水平的集群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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