A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets
We provide a methodology to perform an extensive and systematized analysis of problems where experts voice their opinions on the attributes of projects through a hesitant fuzzy decision matrix. This provides the decision-maker with ample information on which he or she can rely in order to make the f...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Springer
2016-04-01
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Series: | International Journal of Computational Intelligence Systems |
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Online Access: | https://www.atlantis-press.com/article/25868697/view |
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author | José Carlos R. Alcantud Rocío de Andrés Calle |
author_facet | José Carlos R. Alcantud Rocío de Andrés Calle |
author_sort | José Carlos R. Alcantud |
collection | DOAJ |
description | We provide a methodology to perform an extensive and systematized analysis of problems where experts voice their opinions on the attributes of projects through a hesitant fuzzy decision matrix. This provides the decision-maker with ample information on which he or she can rely in order to make the final decision, in the form of segments instead of numbers. These segments derive from weighted average of new parametric expressions for two tenable indices of satisfaction, the distance to an ideal or the similarity to an anti-ideal, and permit to give a profuse unified picture of the relative performance of the projects. When the parameter grows, these indices tend to replicate the evaluation by respective simplistic expressions that only depend on the least, resp., the largest, evaluation and the number of evaluations in each cell. |
first_indexed | 2024-04-13T23:26:20Z |
format | Article |
id | doaj.art-b36f0d02fc464f5fb317d33ce6d25115 |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-04-13T23:26:20Z |
publishDate | 2016-04-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
spelling | doaj.art-b36f0d02fc464f5fb317d33ce6d251152022-12-22T02:25:03ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832016-04-019210.1080/18756891.2016.1161344A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy setsJosé Carlos R. AlcantudRocío de Andrés CalleWe provide a methodology to perform an extensive and systematized analysis of problems where experts voice their opinions on the attributes of projects through a hesitant fuzzy decision matrix. This provides the decision-maker with ample information on which he or she can rely in order to make the final decision, in the form of segments instead of numbers. These segments derive from weighted average of new parametric expressions for two tenable indices of satisfaction, the distance to an ideal or the similarity to an anti-ideal, and permit to give a profuse unified picture of the relative performance of the projects. When the parameter grows, these indices tend to replicate the evaluation by respective simplistic expressions that only depend on the least, resp., the largest, evaluation and the number of evaluations in each cell.https://www.atlantis-press.com/article/25868697/viewHesitant fuzzy setGroup decision makingProject evaluationSegment-based evaluation |
spellingShingle | José Carlos R. Alcantud Rocío de Andrés Calle A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets International Journal of Computational Intelligence Systems Hesitant fuzzy set Group decision making Project evaluation Segment-based evaluation |
title | A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets |
title_full | A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets |
title_fullStr | A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets |
title_full_unstemmed | A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets |
title_short | A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets |
title_sort | segment based approach to the analysis of project evaluation problems by hesitant fuzzy sets |
topic | Hesitant fuzzy set Group decision making Project evaluation Segment-based evaluation |
url | https://www.atlantis-press.com/article/25868697/view |
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