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Sensory Evaluation in Characterization of Fabric Hand

机译：织物手感的感官评估

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摘要

This paper is divided in two parts. The first part presents optimized methods for formalizing and analyzing sensory data provided by different panels on fabric hand evaluation. For achieving this challenge) we first transform each evaluation into fuzzy sets and we submit criteria for assessing the fabric hand evaluation given by experts as well as criteria for computing the distances between different panels and the employed linguistic terms in different evaluation spaces. This sensory data analysis allows us to check expert's and customer's behaviors on fabric hand. Based on this first procedure about formalization and sensory data analysis, we can study the relationships between sensory evaluation given by different experts for a fabric set and the objective data set provided by appropriate measurements. From a set of fabric samples, a database with nearly 10 parameters characterizing the touch handle is built. This way of evaluation is performed by measuring a set of physical parameters on fabrics. Those parameters constitute the input variables of our model. For the textile industry, the major difficulty lies in the fact that the performed measurements on fabrics lead to precise numerical data describing indirectly fabric hand but their relationships with the evaluation given by experts should be exploited. We implement a fuzzy model which predicts the marks reached for a set of linguistic terms. The effectiveness of these methods and criteria is shown through a number of knitted cotton fabrics.
机译：本文分为两部分。第一部分介绍了优化方法，用于规范化和分析由不同专家组提供的关于织物手感评估的感官数据。为了解决这一挑战，我们首先将每个评估转换为模糊集，然后提交评估专家给出的织物手评估的标准以及计算不同评估空间中不同面板和所使用语言术语之间的距离的标准。这种感官数据分析使我们能够检查专家和客户在织物手上的行为。基于有关形式化和感官数据分析的第一个程序，我们可以研究不同专家对织物集的感官评估与适当测量提供的客观数据集之间的关系。从一组织物样本中，建立了一个具有近10个表征触摸手柄特征的参数的数据库。通过评估织物上的一组物理参数来执行这种评估方式。这些参数构成了我们模型的输入变量。对于纺织工业而言，主要困难在于以下事实：对织物进行的测量导致间接地描述织物手感的精确数值数据，但应利用它们与专家给出的评估的关系。我们实现了一个模糊模型，该模型可以预测一组语言术语所达到的分数。这些方法和标准的有效性通过许多针织棉织物得到了证明。

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