Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average
► We implemented GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection. ► The framework considers environmental and economic factors which are standardized by fuzzy membership functions. ► The factors are aggregated by integration of analytica...
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Veröffentlicht in: | Waste management (Elmsford) 2012-02, Vol.32 (2), p.287-296 |
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creator | Gorsevski, Pece V. Donevska, Katerina R. Mitrovski, Cvetko D. Frizado, Joseph P. |
description | ► We implemented GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection. ► The framework considers environmental and economic factors which are standardized by fuzzy membership functions. ► The factors are aggregated by integration of analytical hierarchy process (AHP) and ordered weighted average (OWA) techniques. ► OWA outputs a wide range of different solution maps and predictive alternatives for landfill siting and decision-making. ► The OWA solution maps are intended to quantify the level of risk taking with different predictive alternatives.
This paper presents a GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection in the Polog Region, Macedonia. The multi-criteria decision framework considers environmental and economic factors which are standardized by fuzzy membership functions and combined by integration of analytical hierarchy process (AHP) and ordered weighted average (OWA) techniques. The AHP is used for the elicitation of attribute weights while the OWA operator function is used to generate a wide range of decision alternatives for addressing uncertainty associated with interaction between multiple criteria. The usefulness of the approach is illustrated by different OWA scenarios that report landfill suitability on a scale between 0 and 1. The OWA scenarios are intended to quantify the level of risk taking (i.e., optimistic, pessimistic, and neutral) and to facilitate a better understanding of patterns that emerge from decision alternatives involved in the decision making process. |
doi_str_mv | 10.1016/j.wasman.2011.09.023 |
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This paper presents a GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection in the Polog Region, Macedonia. The multi-criteria decision framework considers environmental and economic factors which are standardized by fuzzy membership functions and combined by integration of analytical hierarchy process (AHP) and ordered weighted average (OWA) techniques. The AHP is used for the elicitation of attribute weights while the OWA operator function is used to generate a wide range of decision alternatives for addressing uncertainty associated with interaction between multiple criteria. The usefulness of the approach is illustrated by different OWA scenarios that report landfill suitability on a scale between 0 and 1. The OWA scenarios are intended to quantify the level of risk taking (i.e., optimistic, pessimistic, and neutral) and to facilitate a better understanding of patterns that emerge from decision alternatives involved in the decision making process.</description><identifier>ISSN: 0956-053X</identifier><identifier>EISSN: 1879-2456</identifier><identifier>DOI: 10.1016/j.wasman.2011.09.023</identifier><identifier>PMID: 22030279</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Analytical hierarchy process ; Applied sciences ; Decision analysis ; Decision Support Techniques ; Environment ; Exact sciences and technology ; Fuzzy ; Fuzzy logic ; Fuzzy sets ; General treatment and storage processes ; Geographic Information Systems ; GIS ; Hierarchies ; Landfill siting ; Landfills ; Macedonia (Republic) ; Mathematical analysis ; Models, Theoretical ; Multi-criteria evaluation ; Ordered weighted average ; Other wastes and particular components of wastes ; Pollution ; Refuse Disposal - economics ; Refuse Disposal - methods ; Satellite navigation systems ; Site selection ; Wastes</subject><ispartof>Waste management (Elmsford), 2012-02, Vol.32 (2), p.287-296</ispartof><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-9655f25cc000d861967231b767d70396815220414c0a1c387b98a3ebfc26f0443</citedby><cites>FETCH-LOGICAL-c456t-9655f25cc000d861967231b767d70396815220414c0a1c387b98a3ebfc26f0443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0956053X11004296$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25289984$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22030279$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gorsevski, Pece V.</creatorcontrib><creatorcontrib>Donevska, Katerina R.</creatorcontrib><creatorcontrib>Mitrovski, Cvetko D.</creatorcontrib><creatorcontrib>Frizado, Joseph P.</creatorcontrib><title>Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average</title><title>Waste management (Elmsford)</title><addtitle>Waste Manag</addtitle><description>► We implemented GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection. ► The framework considers environmental and economic factors which are standardized by fuzzy membership functions. ► The factors are aggregated by integration of analytical hierarchy process (AHP) and ordered weighted average (OWA) techniques. ► OWA outputs a wide range of different solution maps and predictive alternatives for landfill siting and decision-making. ► The OWA solution maps are intended to quantify the level of risk taking with different predictive alternatives.
This paper presents a GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection in the Polog Region, Macedonia. The multi-criteria decision framework considers environmental and economic factors which are standardized by fuzzy membership functions and combined by integration of analytical hierarchy process (AHP) and ordered weighted average (OWA) techniques. The AHP is used for the elicitation of attribute weights while the OWA operator function is used to generate a wide range of decision alternatives for addressing uncertainty associated with interaction between multiple criteria. The usefulness of the approach is illustrated by different OWA scenarios that report landfill suitability on a scale between 0 and 1. The OWA scenarios are intended to quantify the level of risk taking (i.e., optimistic, pessimistic, and neutral) and to facilitate a better understanding of patterns that emerge from decision alternatives involved in the decision making process.</description><subject>Analytical hierarchy process</subject><subject>Applied sciences</subject><subject>Decision analysis</subject><subject>Decision Support Techniques</subject><subject>Environment</subject><subject>Exact sciences and technology</subject><subject>Fuzzy</subject><subject>Fuzzy logic</subject><subject>Fuzzy sets</subject><subject>General treatment and storage processes</subject><subject>Geographic Information Systems</subject><subject>GIS</subject><subject>Hierarchies</subject><subject>Landfill siting</subject><subject>Landfills</subject><subject>Macedonia (Republic)</subject><subject>Mathematical analysis</subject><subject>Models, Theoretical</subject><subject>Multi-criteria evaluation</subject><subject>Ordered weighted average</subject><subject>Other wastes and particular components of wastes</subject><subject>Pollution</subject><subject>Refuse Disposal - economics</subject><subject>Refuse Disposal - methods</subject><subject>Satellite navigation systems</subject><subject>Site selection</subject><subject>Wastes</subject><issn>0956-053X</issn><issn>1879-2456</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1u1DAUhSMEotPCGyDkDYJNwnWc-IdFpaqiUKkSG5DYWR7nZsaj_Ay2M6N5GN4VhwywKytb19899x6fLHtFoaBA-ftdcTShN0NRAqUFqAJK9iRbUSlUXlY1f5qtQNU8h5p9v8guQ9gB0EpSeJ5dlCUwKIVaZT_vh4gbb6IbNqSfuuhy611E7wzBg-mm9DIOJKLdDu7HhIEcXdySDY6pab91lrihHX2_YOEUIvaBpArpzNC0rutISHIkYId2Zj6QG2JNSJU4NScyhXnw6Bv02JAjus02pos5oDcbfJE9a00X8OX5vMq-3X38evs5f_jy6f725iG3yWjMFa_rtqytBYBGcqq4KBldCy4aAUxxSevkuKKVBUMtk2KtpGG4bm3JW6gqdpW9XXT3fpxNRt27YLFLHnCcgla0rmSSgP-TIAWTUs6a7x4lqRCCMspBJLRaUOvHEDy2eu9db_xJU9Bz2Hqnl7D1HLYGpVPYqe31ecK07rH52_Qn3QS8OQMmWNO13gzWhX9cXUqlfq96vXCY_vjg0OtgHQ4WG-dTaroZ3eOb_AIPfswE</recordid><startdate>20120201</startdate><enddate>20120201</enddate><creator>Gorsevski, Pece V.</creator><creator>Donevska, Katerina R.</creator><creator>Mitrovski, Cvetko D.</creator><creator>Frizado, Joseph P.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QQ</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope><scope>7X8</scope><scope>7ST</scope><scope>7TV</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope><scope>SOI</scope></search><sort><creationdate>20120201</creationdate><title>Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average</title><author>Gorsevski, Pece V. ; Donevska, Katerina R. ; Mitrovski, Cvetko D. ; Frizado, Joseph P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-9655f25cc000d861967231b767d70396815220414c0a1c387b98a3ebfc26f0443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Analytical hierarchy process</topic><topic>Applied sciences</topic><topic>Decision analysis</topic><topic>Decision Support Techniques</topic><topic>Environment</topic><topic>Exact sciences and technology</topic><topic>Fuzzy</topic><topic>Fuzzy logic</topic><topic>Fuzzy sets</topic><topic>General treatment and storage processes</topic><topic>Geographic Information Systems</topic><topic>GIS</topic><topic>Hierarchies</topic><topic>Landfill siting</topic><topic>Landfills</topic><topic>Macedonia (Republic)</topic><topic>Mathematical analysis</topic><topic>Models, Theoretical</topic><topic>Multi-criteria evaluation</topic><topic>Ordered weighted average</topic><topic>Other wastes and particular components of wastes</topic><topic>Pollution</topic><topic>Refuse Disposal - economics</topic><topic>Refuse Disposal - methods</topic><topic>Satellite navigation systems</topic><topic>Site selection</topic><topic>Wastes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gorsevski, Pece V.</creatorcontrib><creatorcontrib>Donevska, Katerina R.</creatorcontrib><creatorcontrib>Mitrovski, Cvetko D.</creatorcontrib><creatorcontrib>Frizado, Joseph P.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ceramic Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Sustainability Science Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Waste management (Elmsford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gorsevski, Pece V.</au><au>Donevska, Katerina R.</au><au>Mitrovski, Cvetko D.</au><au>Frizado, Joseph P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average</atitle><jtitle>Waste management (Elmsford)</jtitle><addtitle>Waste Manag</addtitle><date>2012-02-01</date><risdate>2012</risdate><volume>32</volume><issue>2</issue><spage>287</spage><epage>296</epage><pages>287-296</pages><issn>0956-053X</issn><eissn>1879-2456</eissn><abstract>► We implemented GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection. ► The framework considers environmental and economic factors which are standardized by fuzzy membership functions. ► The factors are aggregated by integration of analytical hierarchy process (AHP) and ordered weighted average (OWA) techniques. ► OWA outputs a wide range of different solution maps and predictive alternatives for landfill siting and decision-making. ► The OWA solution maps are intended to quantify the level of risk taking with different predictive alternatives.
This paper presents a GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection in the Polog Region, Macedonia. The multi-criteria decision framework considers environmental and economic factors which are standardized by fuzzy membership functions and combined by integration of analytical hierarchy process (AHP) and ordered weighted average (OWA) techniques. The AHP is used for the elicitation of attribute weights while the OWA operator function is used to generate a wide range of decision alternatives for addressing uncertainty associated with interaction between multiple criteria. The usefulness of the approach is illustrated by different OWA scenarios that report landfill suitability on a scale between 0 and 1. The OWA scenarios are intended to quantify the level of risk taking (i.e., optimistic, pessimistic, and neutral) and to facilitate a better understanding of patterns that emerge from decision alternatives involved in the decision making process.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>22030279</pmid><doi>10.1016/j.wasman.2011.09.023</doi><tpages>10</tpages></addata></record> |
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subjects | Analytical hierarchy process Applied sciences Decision analysis Decision Support Techniques Environment Exact sciences and technology Fuzzy Fuzzy logic Fuzzy sets General treatment and storage processes Geographic Information Systems GIS Hierarchies Landfill siting Landfills Macedonia (Republic) Mathematical analysis Models, Theoretical Multi-criteria evaluation Ordered weighted average Other wastes and particular components of wastes Pollution Refuse Disposal - economics Refuse Disposal - methods Satellite navigation systems Site selection Wastes |
title | Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average |
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