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...

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 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...

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...

Bilevel programming techniques are developed for decentralized decision problems with decision makers located in two levels. Both upper and lower decision makers, termed as leader and follower, try to optimize their own objectives in solution procedure but are affected by those of the other...