International Journal of Computational Intelligence Systems

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Volume 9, Issue 2, April 2016, Pages 325 - 339

A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets

Authors
José Carlos R. Alcantud1, †, Rocío de Andrés Calle1, §
1BORDA Research Unit and Multidisciplinary Institute of Enterprise (IME), University of Salamanca, E-37007 Salamanca, Spain
†E-mail: jcr@usal.es
§E-mail: rocioac@usal.es
Corresponding Authors
José Carlos R. Alcantud, Rocío de Andrés Calle
Received 26 October 2015, Accepted 8 January 2016, Available Online 1 April 2016.
DOI
10.1080/18756891.2016.1161344How to use a DOI?
Keywords
Hesitant fuzzy set; Group decision making; Project evaluation; Segment-based evaluation
Abstract

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.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 2
Pages
325 - 339
Publication Date
2016/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1161344How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - José Carlos R. Alcantud
AU  - Rocío de Andrés Calle
PY  - 2016
DA  - 2016/04/01
TI  - A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets
JO  - International Journal of Computational Intelligence Systems
SP  - 325
EP  - 339
VL  - 9
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1161344
DO  - 10.1080/18756891.2016.1161344
ID  - Alcantud2016
ER  -