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...

This paper presents an intelligent technique based method for analyzing and interpreting sensory data provided by consumers and experts in order to predict consumer's preference on industrial products. In this study, we first introduce the concept of equilibrium consumption for estimating...

Customer satisfaction index (CSI) is an important concept for evaluating the quality of service in e-commerce. It permits to evaluate the validity of an e-commerce operation from the point of view of consumers. In this paper, we present a model of CSI in e-commerce using fuzzy techniques and...

This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique...

Evaluation on the performance and quality of textile products is very important in textile industry, for example, clustering-based fabric evaluation. Classical clustering methods have some disadvantages, one of which is that the parameters of fabrics are straightly clustered without extracting...