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Multicriteria methods and logic aggregation in suitability maps
Author(s) -
Dujmović Jozo,
Tré Guy De
Publication year - 2011
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20509
Subject(s) - analytic hierarchy process , computer science , preference , hierarchy , process (computing) , artificial intelligence , simple (philosophy) , data mining , mathematics , operations research , statistics , philosophy , epistemology , economics , market economy , operating system
Abstract In this paper, we identify and describe fundamental logic properties of multicriteria methods for land‐use suitability analysis and the design of suitability maps. The existing multicriteria methods can be evaluated from the standpoint of their ability to support the necessary logic properties that affect the expressive power of evaluation methods. The paper investigates and compares simple additive scoring, multiattribute value technique, multiattribute utility technique, analytic hierarchy process, ordered weighted average, outranking methods, and logic scoring of preference (LSP). We introduce canonical forms of logic aggregation in suitability maps and show how to use canonical aggregation structures to design LSP suitability maps that evaluate distributions of points of interests (POIs) in urban areas. © 2011 Wiley Periodicals, Inc.