GIS–Multicriteria Evaluation with Ordered Weighted Averaging (OWA): Case Study of Developing Watershed Management Strategies
This paper focuses on the parameterized-ordered weighted averaging (OWA) method. OWA is a family of multicriteria evaluation (or combination) rules. The proposed approach uses a parameter that serves as a mechanism for guiding multicriteria evaluation procedures. The parameter is incorporated into a...
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Veröffentlicht in: | Environment and planning. A 2003-10, Vol.35 (10), p.1769-1784 |
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container_title | Environment and planning. A |
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creator | Malczewski, Jacek Chapman, Terry Flegel, Cindy Walters, Dan Shrubsole, Dan Healy, Martin A |
description | This paper focuses on the parameterized-ordered weighted averaging (OWA) method. OWA is a family of multicriteria evaluation (or combination) rules. The proposed approach uses a parameter that serves as a mechanism for guiding multicriteria evaluation procedures. The parameter is incorporated into a method for obtaining the optimal order weights and for developing a transformation function. The function provides us with a consistent way of modifying the criterion values so that the multicriteria combination procedures can be guided by specifying a single parameter. The parameterized-OWA method has been implemented in a GIS environment as a GIS–OWA module and it has been tested in a real-world situation for developing management strategies in the Cedar Creek watershed in Ontario, Canada. Given a set of evaluation criteria, the problem is to evaluate areas in the watershed for rehabilitation and enhancement projects. Using the GIS–OWA method, a number of alternative strategies for rehabilitation and enhancement projects have been generated and evaluated. |
doi_str_mv | 10.1068/a35156 |
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A</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Malczewski, Jacek</au><au>Chapman, Terry</au><au>Flegel, Cindy</au><au>Walters, Dan</au><au>Shrubsole, Dan</au><au>Healy, Martin A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GIS–Multicriteria Evaluation with Ordered Weighted Averaging (OWA): Case Study of Developing Watershed Management Strategies</atitle><jtitle>Environment and planning. A</jtitle><date>2003-10-01</date><risdate>2003</risdate><volume>35</volume><issue>10</issue><spage>1769</spage><epage>1784</epage><pages>1769-1784</pages><issn>0308-518X</issn><eissn>1472-3409</eissn><abstract>This paper focuses on the parameterized-ordered weighted averaging (OWA) method. OWA is a family of multicriteria evaluation (or combination) rules. The proposed approach uses a parameter that serves as a mechanism for guiding multicriteria evaluation procedures. The parameter is incorporated into a method for obtaining the optimal order weights and for developing a transformation function. The function provides us with a consistent way of modifying the criterion values so that the multicriteria combination procedures can be guided by specifying a single parameter. The parameterized-OWA method has been implemented in a GIS environment as a GIS–OWA module and it has been tested in a real-world situation for developing management strategies in the Cedar Creek watershed in Ontario, Canada. Given a set of evaluation criteria, the problem is to evaluate areas in the watershed for rehabilitation and enhancement projects. Using the GIS–OWA method, a number of alternative strategies for rehabilitation and enhancement projects have been generated and evaluated.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1068/a35156</doi><tpages>16</tpages></addata></record> |
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source | RePEc; SAGE Complete A-Z List |
subjects | Bgi / Prodig Economic models Environment Environmental economics Environmental management Evaluation Human geography Management Management of resources and environment Model testing Political and economic geography Values |
title | GIS–Multicriteria Evaluation with Ordered Weighted Averaging (OWA): Case Study of Developing Watershed Management Strategies |
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