International Journal of Computational Intelligence Systems

Volume 1, Issue 2, June 2008, Pages 148 - 158

A Linguistic Multigranular Sensory Evaluation Model for Olive Oil

Authors
Luis Martinez, Macarena Espinilla, Luis G. Perez
Corresponding Author
Luis Martinez
Available Online 12 June 2008.
DOI
https://doi.org/10.2991/ijcis.2008.1.2.5How to use a DOI?
Abstract
Evaluation is a process that analyzes elements in order to achieve different objectives such as quality inspection, marketing and other fields in industrial companies. This paper focuses on sensory evaluation where the evaluated items are assessed by a panel of experts according to the knowledge acquired via human senses. In these evaluation processes the information provided by the experts implies uncertainty, vagueness and imprecision. The use of the Fuzzy Linguistic Approach 32 has provided successful results modelling such a type of information. In sensory evaluation it may happen that the panel of experts have more or less degree knowledge of about the evaluated items or indicators. So, it seems suitable that each expert could express their preferences in different linguistic term sets based on their own knowledge. In this paper, we present a sensory evaluation model that manages multigranular linguistic evaluation framework based on a decision analysis scheme. This model will be applied to the sensory evaluation process of Olive Oil.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
1 - 2
Pages
148 - 158
Publication Date
2008/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2008.1.2.5How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Luis Martinez
AU  - Macarena Espinilla
AU  - Luis G. Perez
PY  - 2008
DA  - 2008/06
TI  - A Linguistic Multigranular Sensory Evaluation Model for Olive Oil
JO  - International Journal of Computational Intelligence Systems
SP  - 148
EP  - 158
VL  - 1
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2008.1.2.5
DO  - https://doi.org/10.2991/ijcis.2008.1.2.5
ID  - Martinez2008
ER  -