International Journal of Computational Intelligence Systems

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Volume 9, Issue 2, April 2016, Pages 213 - 226

Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators

Authors
I. Feki1, *, X. Zeng2, A. Ghith3, L. Koehl2, F. Msahli1, F. Sakli4
1Etude des Systèmes Industriels et des Energies Renouvelables (ESIER), Ecole Nationale d’Ingénieurs de Monastir, University of Monastir, Tunisia.
2Laboratoire GE.M.TEX., Ecole Nationale Supérieure des Arts et Industries textiles, Roubaix, Université Lille 1, France
3Département de Génie Textile, Ecole Nationale d’Ingénieurs de Monastir, University of Monastir, Tunisia.
4Laboratoire de Génie Textile, Institut Supérieur aux Etudes Technologiques de Ksar Hellal, Tunisia
*Corresponding author. E-mail: fekiimed@yahoo.fr.
Corresponding Author
I. Feki
Received 2 July 2015, Accepted 3 January 2016, Available Online 1 April 2016.
DOI
10.1080/18756891.2016.1149997How to use a DOI?
Keywords
feature selection; fuzzy logic; data sensitivity; OWA operators; Multi-criteria decision making; percolation technique
Abstract

The assessment of goods quality using experts is costly task in addition to their often unavailability. In this paper, we present a new method for ranking physical features of consumer goods according to their relevancy to multiple evaluators’ perception at different levels and selecting the most important ones for quality characterization. The main contribution of the paper is combining of fuzzy method and ordered weighted averaging (OWA) operators to achieve our aim. The proposed selection method, considered as a Multi-Evaluators and Multi-Criteria Decision Making (ME-MCDM) technique, has been developed using fuzzy sensitivity (FS) criterion for ranking and OWA operator to aggregate the aforementioned ranking lists. Finally, by introducing a smart percolation technique we get automatically the most relevant physical features for a given sensory descriptor. The suggested approach is applied to a selection problem of textile physical features.

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
213 - 226
Publication Date
2016/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1149997How 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  - I. Feki
AU  - X. Zeng
AU  - A. Ghith
AU  - L. Koehl
AU  - F. Msahli
AU  - F. Sakli
PY  - 2016
DA  - 2016/04/01
TI  - Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators
JO  - International Journal of Computational Intelligence Systems
SP  - 213
EP  - 226
VL  - 9
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1149997
DO  - 10.1080/18756891.2016.1149997
ID  - Feki2016
ER  -