Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP

The reliance on experts' decision is considered a very efficient solution especially in case of ill-structured and vague decision making situations. This necessitates being able to identify the expert or experts group whose decision must be particularly assigned a greater weight or importance....

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Main Authors: S. Aly, I. Vrana
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2008-11-01
Series:Agricultural Economics (AGRICECON)
Subjects:
Online Access:https://agricecon.agriculturejournals.cz/artkey/age-200811-0004_evaluating-the-knowledge-relevance-and-experience-of-expert-decision-makers-utilizing-the-fuzzy-ahp.php
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author S. Aly
I. Vrana
author_facet S. Aly
I. Vrana
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description The reliance on experts' decision is considered a very efficient solution especially in case of ill-structured and vague decision making situations. This necessitates being able to identify the expert or experts group whose decision must be particularly assigned a greater weight or importance. This paper is concerned with a method of how to determine the weights of a group of expert decision makers, taking into account the vagueness associated with such evaluation.
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spelling doaj.art-3bb2bb310cc145faaa2350336a5ee1b02023-02-23T03:23:26ZengCzech Academy of Agricultural SciencesAgricultural Economics (AGRICECON)0139-570X1805-92952008-11-01541152953510.17221/264-AGRICECONage-200811-0004Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHPS. Aly0I. Vrana1Department of Information Engineering, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech RepublicDepartment of Information Engineering, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech RepublicThe reliance on experts' decision is considered a very efficient solution especially in case of ill-structured and vague decision making situations. This necessitates being able to identify the expert or experts group whose decision must be particularly assigned a greater weight or importance. This paper is concerned with a method of how to determine the weights of a group of expert decision makers, taking into account the vagueness associated with such evaluation.https://agricecon.agriculturejournals.cz/artkey/age-200811-0004_evaluating-the-knowledge-relevance-and-experience-of-expert-decision-makers-utilizing-the-fuzzy-ahp.phpgroup decision makinganalytical hierarchy process (ahp)fuzzy-ahpexperts judgmentsill-structured decision makingdecision making weights/importance's
spellingShingle S. Aly
I. Vrana
Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP
Agricultural Economics (AGRICECON)
group decision making
analytical hierarchy process (ahp)
fuzzy-ahp
experts judgments
ill-structured decision making
decision making weights/importance's
title Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP
title_full Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP
title_fullStr Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP
title_full_unstemmed Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP
title_short Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP
title_sort evaluating the knowledge relevance and experience of expert decision makers utilizing the fuzzy ahp
topic group decision making
analytical hierarchy process (ahp)
fuzzy-ahp
experts judgments
ill-structured decision making
decision making weights/importance's
url https://agricecon.agriculturejournals.cz/artkey/age-200811-0004_evaluating-the-knowledge-relevance-and-experience-of-expert-decision-makers-utilizing-the-fuzzy-ahp.php
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