A Thurstonian view of the analytic hierarchy process
The application of deterministic decision models in situations characterized by noise and uncertainty is likely to produce results of questionable value. In this paper, some very simple probabilistic models are developed and substituted for the deterministic scales used in the Analytic Hierarchy Pro...
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Veröffentlicht in: | European journal of operational research 1996-03, Vol.89 (2), p.427-444 |
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container_title | European journal of operational research |
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creator | MacKay, David B. Bowen, William M. Zinnes, Joseph L. |
description | The application of deterministic decision models in situations characterized by noise and uncertainty is likely to produce results of questionable value. In this paper, some very simple probabilistic models are developed and substituted for the deterministic scales used in the Analytic Hierarchy Process (AHP). It is shown that the use of these probabilistic models can extend the domain of AHP to situations, such as consensual or group decision making, that possess significant amounts of uncertainty. In addition, explicit measures of the variation present in the evaluation of decision alternatives and attributes are obtained. |
doi_str_mv | 10.1016/0377-2217(94)00280-0 |
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In addition, explicit measures of the variation present in the evaluation of decision alternatives and attributes are obtained.</description><subject>Analytic hierarchy processes</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Decision making models</subject><subject>Hierarchies</subject><subject>Monte Carlo simulation</subject><subject>Operations research</subject><subject>Probability</subject><subject>Studies</subject><subject>Uncertainty</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNp9UE1LAzEQDaJgrf4DD4snPazmazfJRSjFTwpe6jmkySyb0u6uybay_97UlR4deDMQ3rzMewhdE3xPMCkfMBMip5SIW8XvMKYS5_gETYgUNC9liU_R5Eg5RxcxrjHGpCDFBPFZtqx3IfZt402T7T18Z22V9TVkpjGbofc2qz0EE2w9ZF1oLcR4ic4qs4lw9Ten6PP5aTl_zRcfL2_z2SK3TMk-50UJxCipOBQcKoYVs5iBACcpWxVOCVIRZYWRVjrLKuMwN2VFYEWZc1SyKboZddO_XzuIvV63u5DOippiTngyxROJjyQb2hgDVLoLfmvCoAnWh3j0wbs-eNeK69940tMUvY9rATqwxx1ItW4DRL3XzEiV2pBAlCrT8Ak0oUvgVGjOua77bRJ7HMUgpZEyDDpaD40F5wPYXrvW_3_ND7tDhBo</recordid><startdate>19960308</startdate><enddate>19960308</enddate><creator>MacKay, David B.</creator><creator>Bowen, William M.</creator><creator>Zinnes, Joseph L.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><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>19960308</creationdate><title>A Thurstonian view of the analytic hierarchy process</title><author>MacKay, David B. ; Bowen, William M. ; Zinnes, Joseph L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-456e1a9894e54ef3093c03e7ed823b5d971f19c7a8c8dc3fad04a6f1eb23dd283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Analytic hierarchy processes</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Decision making models</topic><topic>Hierarchies</topic><topic>Monte Carlo simulation</topic><topic>Operations research</topic><topic>Probability</topic><topic>Studies</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MacKay, David B.</creatorcontrib><creatorcontrib>Bowen, William M.</creatorcontrib><creatorcontrib>Zinnes, Joseph L.</creatorcontrib><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>MacKay, David B.</au><au>Bowen, William M.</au><au>Zinnes, Joseph L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Thurstonian view of the analytic hierarchy process</atitle><jtitle>European journal of operational research</jtitle><date>1996-03-08</date><risdate>1996</risdate><volume>89</volume><issue>2</issue><spage>427</spage><epage>444</epage><pages>427-444</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>The application of deterministic decision models in situations characterized by noise and uncertainty is likely to produce results of questionable value. 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subjects | Analytic hierarchy processes Decision analysis Decision making Decision making models Hierarchies Monte Carlo simulation Operations research Probability Studies Uncertainty |
title | A Thurstonian view of the analytic hierarchy process |
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