Intelligent sensory evaluation: Concepts, implementations,and applications

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Intelligent sensory evaluation: Concepts, implementations,and applications. / Zeng, Xianyi; Ruan, Da; Koehl, Ludovic; Laes, Erik (Peer reviewer).

In: Mathematics and Computers in Simulation, Vol. 77, No. 5-6, 01.05.2008, p. 443-452.

Research output: Contribution to journalArticle

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Zeng, X, Ruan, D, Koehl, L & Laes, E 2008, 'Intelligent sensory evaluation: Concepts, implementations,and applications', Mathematics and Computers in Simulation, vol. 77, no. 5-6, pp. 443-452. https://doi.org/10.1016/j.matcom.2007.11.013

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Zeng, Xianyi ; Ruan, Da ; Koehl, Ludovic ; Laes, Erik. / Intelligent sensory evaluation: Concepts, implementations,and applications. In: Mathematics and Computers in Simulation. 2008 ; Vol. 77, No. 5-6. pp. 443-452.

Bibtex - Download

@article{890f1b7a09ac42f7891ddfa26cb4462a,
title = "Intelligent sensory evaluation: Concepts, implementations,and applications",
abstract = "Sensory evaluation has been widely applied in different industrial fields especially for quality inspection, product design and marketing. Classically, factorial multivariate methods are the only tool for analyzing and modeling sensory data provided by experts, panelists or consumers. These methods are efficient for solving some problems but sometimes cause important information lost. In this situation, new methods based on intelligent techniques such as fuzzy logic, neural networks, data aggregation, classification, clustering have been applied for solving uncertainty and imprecision related to sensory evaluation. These new methods can be used together with the classical ones in a complementary way for obtaining relevant information from sensory data. This paper outlines the general background of sensory evaluation and the corresponding industrial interests and explicitly indicates some orientations for further development by IT researchers.",
keywords = "Sensory evaluation, Fuzzy logic, Data aggregation, Classification, Clustering, Uncertainty",
author = "Xianyi Zeng and Da Ruan and Ludovic Koehl and Erik Laes",
note = "Score = 10",
year = "2008",
month = "5",
day = "1",
doi = "10.1016/j.matcom.2007.11.013",
language = "English",
volume = "77",
pages = "443--452",
journal = "Mathematics and Computers in Simulation",
issn = "0378-4754",
publisher = "Elsevier",
number = "5-6",

}

RIS - Download

TY - JOUR

T1 - Intelligent sensory evaluation: Concepts, implementations,and applications

AU - Zeng, Xianyi

AU - Ruan, Da

AU - Koehl, Ludovic

A2 - Laes, Erik

N1 - Score = 10

PY - 2008/5/1

Y1 - 2008/5/1

N2 - Sensory evaluation has been widely applied in different industrial fields especially for quality inspection, product design and marketing. Classically, factorial multivariate methods are the only tool for analyzing and modeling sensory data provided by experts, panelists or consumers. These methods are efficient for solving some problems but sometimes cause important information lost. In this situation, new methods based on intelligent techniques such as fuzzy logic, neural networks, data aggregation, classification, clustering have been applied for solving uncertainty and imprecision related to sensory evaluation. These new methods can be used together with the classical ones in a complementary way for obtaining relevant information from sensory data. This paper outlines the general background of sensory evaluation and the corresponding industrial interests and explicitly indicates some orientations for further development by IT researchers.

AB - Sensory evaluation has been widely applied in different industrial fields especially for quality inspection, product design and marketing. Classically, factorial multivariate methods are the only tool for analyzing and modeling sensory data provided by experts, panelists or consumers. These methods are efficient for solving some problems but sometimes cause important information lost. In this situation, new methods based on intelligent techniques such as fuzzy logic, neural networks, data aggregation, classification, clustering have been applied for solving uncertainty and imprecision related to sensory evaluation. These new methods can be used together with the classical ones in a complementary way for obtaining relevant information from sensory data. This paper outlines the general background of sensory evaluation and the corresponding industrial interests and explicitly indicates some orientations for further development by IT researchers.

KW - Sensory evaluation

KW - Fuzzy logic

KW - Data aggregation

KW - Classification

KW - Clustering

KW - Uncertainty

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_88123

UR - http://knowledgecentre.sckcen.be/so2/bibref/4941

U2 - 10.1016/j.matcom.2007.11.013

DO - 10.1016/j.matcom.2007.11.013

M3 - Article

VL - 77

SP - 443

EP - 452

JO - Mathematics and Computers in Simulation

JF - Mathematics and Computers in Simulation

SN - 0378-4754

IS - 5-6

ER -

ID: 320033