Application of fuzzy measures in multi-criteria evaluation in GIS
作者:
Hong Jiang,
J. Ronald Eastman,
期刊:
International Journal of Geographical Information Science
(Taylor Available online 2000)
卷期:
Volume 14,
issue 2
页码: 173-184
ISSN:1365-8816
年代: 2000
DOI:10.1080/136588100240903
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Multi-criteria evaluation (MCE) is perhaps the most fundamental of decision support operations in geographical information systems (GIS). This paper reviews two main MCE approaches employed in GIS, namely Boolean and Weighted Linear Combination (WLC), and discusses issues and problems associated with both. To resolve the conceptual differences between the two approaches, this paper proposes the application of fuzzy measures, a concept that is broader but that includes fuzzy set membership, and argues that the standardized factors of MCE belong to a general class of fuzzy measures and the more specific instance of fuzzy set membership. This perspective provides a strong theoretical basis for the standardization of factors and their subsequent aggregation. In this context, a new aggregation operator that accommodates and extends the Boolean and WLC approaches is discussed: the Ordered Weighted Average. A case study of industrial allocation in Nakuru, Kenya is employed to illustrate the different approaches.
点击下载:
PDF (740KB)
返 回