Multicriteria decision support using rules that represent rough-graded preference relations
The approach described in this paper aims to support multicriteria choice and ranking of actions when the input preference information acquired from the decision maker is a graded comprehensive pairwise comparison (or ranking) of reference actions. It is based on decision-rule preference model induc...
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| Veröffentlicht in: | European journal of operational research 2008-07, Vol.188 (1), p.206-223 |
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| container_title | European journal of operational research |
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| creator | Fortemps, Philippe Greco, Salvatore Słowiński, Roman |
| description | The approach described in this paper aims to support multicriteria choice and ranking of actions when the input preference information acquired from the decision maker is a graded comprehensive pairwise comparison (or ranking) of reference actions. It is based on decision-rule preference model induced from a rough approximation of the graded comprehensive preference relation among the reference actions. The set of decision rules applied to a new set of actions provides a graded fuzzy preference relation, which can be exploited by weighted-fuzzy net flow score or lexicographic-fuzzy net flow score procedure to obtain a final recommendation in terms of the best choice or of the ranking. |
| doi_str_mv | 10.1016/j.ejor.2007.03.036 |
| format | Article |
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Management science</subject><subject>Preferences</subject><subject>Ranking</subject><subject>Rough sets</subject><subject>Studies</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNp9UMFq3DAQFSWFbrb9gZ5MoUdvpJFtWdBLCU0bkpBLbj0IrTzalXFsV5ID-fuOsyHHiBlpGN57M3qMfRV8J7hoLvod9lPcAedqxyVF84FtRKugbNqGn7ENl0qVAEJ9Yucp9ZxzUYt6w_7eLUMOLoaMMdiiQxdSmMYiLfM8xVwsKYyHIi4DpiIfbS4izhETjlRNy-FYHqLtsCuo6THi6JAQg82kkT6zj94OCb-8vlv2cPXr4fJPeXv_-_ry523pKqhz6bnaayE7B6grrzUI5xTsvfBa7RHA1rVze8DO19p7rj24qrXgwSqJXMot-3aSneP0b8GUTT8tcaSJBnglKtCNJhCcQC5OKdGyZo7h0cZnI7hZLTS9WS00q4WGS4qGSDcnEn0a3RsD6RAUk3ky0oq2pfuZkqhrGdYm5fzSagyANMf8SGrfX_e0ydnBRzuS2W-qxBYKXqb-OOGQPHsKGE1yYXW2CxFdNt0U3lv6P88sovk</recordid><startdate>20080701</startdate><enddate>20080701</enddate><creator>Fortemps, Philippe</creator><creator>Greco, Salvatore</creator><creator>Słowiński, Roman</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20080701</creationdate><title>Multicriteria decision support using rules that represent rough-graded preference relations</title><author>Fortemps, Philippe ; Greco, Salvatore ; Słowiński, Roman</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-f07b913dc2e94f9921cc72bf1f97be22a55ccb2edf59ff09f2c48a2f2a73e033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Applied sciences</topic><topic>Choice</topic><topic>Decision rules</topic><topic>Decision theory. Utility theory</topic><topic>Exact sciences and technology</topic><topic>Fuzzy logic</topic><topic>Graded preference relations</topic><topic>Multicriteria decision support</topic><topic>Multiple criteria decision making</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Preferences</topic><topic>Ranking</topic><topic>Rough sets</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fortemps, Philippe</creatorcontrib><creatorcontrib>Greco, Salvatore</creatorcontrib><creatorcontrib>Słowiński, Roman</creatorcontrib><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>European journal of operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fortemps, Philippe</au><au>Greco, Salvatore</au><au>Słowiński, Roman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multicriteria decision support using rules that represent rough-graded preference relations</atitle><jtitle>European journal of operational research</jtitle><date>2008-07-01</date><risdate>2008</risdate><volume>188</volume><issue>1</issue><spage>206</spage><epage>223</epage><pages>206-223</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>The approach described in this paper aims to support multicriteria choice and ranking of actions when the input preference information acquired from the decision maker is a graded comprehensive pairwise comparison (or ranking) of reference actions. 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| identifier | ISSN: 0377-2217 |
| ispartof | European journal of operational research, 2008-07, Vol.188 (1), p.206-223 |
| issn | 0377-2217 1872-6860 |
| language | eng |
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| source | RePEc; Access via ScienceDirect (Elsevier) |
| subjects | Applied sciences Choice Decision rules Decision theory. Utility theory Exact sciences and technology Fuzzy logic Graded preference relations Multicriteria decision support Multiple criteria decision making Operational research and scientific management Operational research. Management science Preferences Ranking Rough sets Studies |
| title | Multicriteria decision support using rules that represent rough-graded preference relations |
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