A Multiple Criteria Decision Making Model Based on DEA/AR with AHP Preference Cone
In this paper, we proposed a multiple criteria DEA/AR (data envelopment analysis/assurance region) model with analytical hierarchy process (AHP) preference cone in multiple criteria decision making (MCDM) problems. The inputs and outputs of DMUs were extended to three types including cost- type, fix...
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creator | Jianyong Liu Ling Li Chengqun Fu Zhongjun Wu |
description | In this paper, we proposed a multiple criteria DEA/AR (data envelopment analysis/assurance region) model with analytical hierarchy process (AHP) preference cone in multiple criteria decision making (MCDM) problems. The inputs and outputs of DMUs were extended to three types including cost- type, fixed-type and income-type, which formed multiple criteria DEA model. Benchmark DMU was established and its optimized weights values were calculated. To reflect the preference of decision maker, AHP method was utilized to build the preference cone. The combination of benchmark weights constraints and AHP preference cone ascertained AR. The method differs from the traditional one; it takes account of both objective and subjective sides. A numerical example illustrates the availability and efficiency of the hybrid model. |
doi_str_mv | 10.1109/IWISA.2009.5072641 |
format | Conference Proceeding |
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The inputs and outputs of DMUs were extended to three types including cost- type, fixed-type and income-type, which formed multiple criteria DEA model. Benchmark DMU was established and its optimized weights values were calculated. To reflect the preference of decision maker, AHP method was utilized to build the preference cone. The combination of benchmark weights constraints and AHP preference cone ascertained AR. The method differs from the traditional one; it takes account of both objective and subjective sides. 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A numerical example illustrates the availability and efficiency of the hybrid model.</description><subject>Analytical models</subject><subject>Best practices</subject><subject>Chemical engineering</subject><subject>Data engineering</subject><subject>Data envelopment analysis</subject><subject>Decision making</subject><subject>Gold</subject><subject>Instruments</subject><subject>Production planning</subject><subject>Programmable logic arrays</subject><isbn>9781424438938</isbn><isbn>1424438934</isbn><isbn>1424438942</isbn><isbn>9781424438945</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UM1Kw0AYXJGCtuYF9LIvkHT_s3tc09YGGiy14LFss190NSYliYhvb8Q6l2GGYRgGoVtKEkqJmefP-ZNNGCEmkSRlStALNKWCCcG1EewSRSbV_5rrCZr-Zg0hUoorFPX9GxkhJOPKXKOdxcVnPYRTDTjrwgBdcHgBZehD2-DCvYfmBRethxrfux48Ht3F0s7tDn-F4RXb9RZvO6igg6YcK9oGbtCkcnUP0ZlnaL9a7rN1vHl8yDO7iYMhQ6w5A-_puFg5Bi4FKCtFpVLMEcUMYUeq5JFyIzzT3hAuudDeSwPUsaoCPkN3f7UBAA6nLny47vtwvoT_AO9lUEQ</recordid><startdate>200905</startdate><enddate>200905</enddate><creator>Jianyong Liu</creator><creator>Ling Li</creator><creator>Chengqun Fu</creator><creator>Zhongjun Wu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200905</creationdate><title>A Multiple Criteria Decision Making Model Based on DEA/AR with AHP Preference Cone</title><author>Jianyong Liu ; Ling Li ; Chengqun Fu ; Zhongjun Wu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-832edd19426a2ea7eecf615662a062902b165b1394d28d9035348dd59e1a2ffe3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Analytical models</topic><topic>Best practices</topic><topic>Chemical engineering</topic><topic>Data engineering</topic><topic>Data envelopment analysis</topic><topic>Decision making</topic><topic>Gold</topic><topic>Instruments</topic><topic>Production planning</topic><topic>Programmable logic arrays</topic><toplevel>online_resources</toplevel><creatorcontrib>Jianyong Liu</creatorcontrib><creatorcontrib>Ling Li</creatorcontrib><creatorcontrib>Chengqun Fu</creatorcontrib><creatorcontrib>Zhongjun Wu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jianyong Liu</au><au>Ling Li</au><au>Chengqun Fu</au><au>Zhongjun Wu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Multiple Criteria Decision Making Model Based on DEA/AR with AHP Preference Cone</atitle><btitle>2009 International Workshop on Intelligent Systems and Applications</btitle><stitle>IWISA</stitle><date>2009-05</date><risdate>2009</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><isbn>9781424438938</isbn><isbn>1424438934</isbn><eisbn>1424438942</eisbn><eisbn>9781424438945</eisbn><abstract>In this paper, we proposed a multiple criteria DEA/AR (data envelopment analysis/assurance region) model with analytical hierarchy process (AHP) preference cone in multiple criteria decision making (MCDM) problems. The inputs and outputs of DMUs were extended to three types including cost- type, fixed-type and income-type, which formed multiple criteria DEA model. Benchmark DMU was established and its optimized weights values were calculated. To reflect the preference of decision maker, AHP method was utilized to build the preference cone. The combination of benchmark weights constraints and AHP preference cone ascertained AR. The method differs from the traditional one; it takes account of both objective and subjective sides. A numerical example illustrates the availability and efficiency of the hybrid model.</abstract><pub>IEEE</pub><doi>10.1109/IWISA.2009.5072641</doi><tpages>4</tpages></addata></record> |
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subjects | Analytical models Best practices Chemical engineering Data engineering Data envelopment analysis Decision making Gold Instruments Production planning Programmable logic arrays |
title | A Multiple Criteria Decision Making Model Based on DEA/AR with AHP Preference Cone |
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