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...

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Main Authors: José Carlos R. Alcantud, Rocío de Andrés Calle
Format: Article
Language:English
Published: Springer 2016-04-01
Series:International Journal of Computational Intelligence Systems
Subjects:
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.
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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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