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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Format: | Article |
Language: | English |
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Czech Academy of Agricultural Sciences
2008-11-01
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Series: | Agricultural Economics (AGRICECON) |
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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 |
author_sort | S. Aly |
collection | DOAJ |
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. |
first_indexed | 2024-04-10T08:40:09Z |
format | Article |
id | doaj.art-3bb2bb310cc145faaa2350336a5ee1b0 |
institution | Directory Open Access Journal |
issn | 0139-570X 1805-9295 |
language | English |
last_indexed | 2024-04-10T08:40:09Z |
publishDate | 2008-11-01 |
publisher | Czech Academy of Agricultural Sciences |
record_format | Article |
series | Agricultural Economics (AGRICECON) |
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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