An intelligent sensory evaluation method for industrial products characterization

被引：9
|
作者：
Xu, Yang
Zeng, Xianyi [1 ]
Koehl, Ludovic
机构：
[1] SW Jiaotong Univ, Dept Math, Chengdu 610031, Sichuan, Peoples R China
[2] ENSAIT, Lab GEMTEX, F-59070 Roubaix, France
来源：
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING | 2007年 / 6卷 / 02期
关键词：
sensory evaluation; fuzzy satisfaction degrees; measures of consistency; data aggregation; dissimilarity; fabric hand;
D O I：
10.1142/S0219622007002435
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new method for sensory evaluation of industrial products with uncertain information. In this approach, sensory data provided by different evaluators are transformed into measures of consistency on fuzzy satisfaction degrees. Based on these measures of consistency, we obtain the aggregated information for all evaluators and all attributes and measure the dissimilarity between evaluators and between used evaluation attributes. The effectiveness of this method has been validated in the fabric hand evaluation for a number of samples of knitted cotton.
引用
收藏
页码：349 / 370
页数：22
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