Application of fuzzy measures in multi-criteria evaluation in GIS (Record no. 40485)

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control field 20250625124637.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-6140
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Title Application of fuzzy measures in multi-criteria evaluation in GIS
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Volume/sequential designation International Journal of Geographical Information Science, 14(2), p.173-184, 2000
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Summary, etc. 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.
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Personal name Jiang, H.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Eastman, J.R.
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Uniform Resource Identifier <a href="https://drive.google.com/file/d/1_z_6H06NGfDAJCM6i-yZSCLWWj3HQ9Vi/view?usp=drivesdk">https://drive.google.com/file/d/1_z_6H06NGfDAJCM6i-yZSCLWWj3HQ9Vi/view?usp=drivesdk</a>
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