In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

In this paper, based on more than ten years' studies on this dedicated research thrust, a
comprehensive review concerning information mining from big consumer opinion data in …

Today's product design takes into account the affective aspects of products, such as
aesthetics and comfort, as much as reliability and physical quality. Manufacturers need to …

In recent years, machine learning (ML)-based approaches have gained increasing attention
in occupational accident research. However, the challenges of data uncertainty …

Evacuation planning contains more than a few decisions which have to be made in a very
short period of time and in the most appropriate way. Evacuation path optimization has vital …

Kansei engineering is a product design methodology that takes into account the affective
needs of customers and translates them into product parameters. Traditionally, it uses …

Customer-involved design concept evaluation (DCE) allows customers to take part in
evaluating the design alternatives to get more popular design concept. Traditional customer …

The explosive growth of online review data on e-commerce websites demands major
changes to product emotional design. Kansei engineering, the primary approach of product …

At present online reviews are becoming an important source for Kansei engineering of the
services provided by ridesharing platforms. Kansei engineering deals with incorporating …

Obtaining an accurate mathematical model is an important subject to design an overhead
crane control system. However, there are some deviations between an existing model and a …