Fuzzy regression analysis: Systematic review and bibliography

N Chukhrova, A Johannssen - Applied Soft Computing, 2019 - Elsevier
Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

Review on recent advances in information mining from big consumer opinion data for product design

J **, Y Liu, P Ji, CK Kwong - … of Computing and …, 2019 - asmedigitalcollection.asme.org
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 …

Extracting and summarizing affective features and responses from online product descriptions and reviews: A Kansei text mining approach

WM Wang, Z Li, ZG Tian, JW Wang… - Engineering Applications of …, 2018 - Elsevier
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 …

Aspect based sentiment analysis of ridesharing platform reviews for kansei engineering

S Ali, G Wang, S Riaz - IEEE Access, 2020 - ieeexplore.ieee.org
At present online reviews are becoming an important source for Kansei engineering of the
services provided by ridesharing platforms. Kansei engineering deals with incorporating …

AI-based methodology of integrating affective design, engineering, and marketing for defining design specifications of new products

CK Kwong, H Jiang, XG Luo - Engineering Applications of Artificial …, 2016 - Elsevier
In the early stage of product design, particularly for consumer products, affective design,
engineering, and marketing issues must be taken into considerationand they are commonly …

Dynamic modelling of customer preferences for product design using DENFIS and opinion mining

H Jiang, CK Kwong, GEO Kremer, WY Park - Advanced Engineering …, 2019 - Elsevier
Previous studies mainly employed customer surveys to collect survey data for understanding
customer preferences on products and develo** customer preference models. In reality …

[HTML][HTML] Modeling customer satisfaction with new product design using a flexible fuzzy regression-data envelopment analysis algorithm

S Nazari-Shirkouhi, A Keramati - Applied Mathematical Modelling, 2017 - Elsevier
The success of new products depends greatly on customer satisfaction and meeting the
customer needs is vital for new product development. By incorporating customer needs in …

A multi-objective PSO approach of mining association rules for affective design based on online customer reviews

H Jiang, CK Kwong, WY Park, KM Yu - Journal of Engineering …, 2018 - Taylor & Francis
Affective design is an important aspect of new product development that can enhance
customer satisfaction of new products. Previous studies generally conducted customer …

Affective design using machine learning: a survey and its prospect of conjoining big data

KY Chan, CK Kwong, P Wongthongtham… - … Journal of Computer …, 2020 - Taylor & Francis
Customer satisfaction in purchasing new products is an important issue that needs to be
addressed in today's competitive markets. A product with good affective design excites …

[HTML][HTML] A research review on the key technologies of intelligent design for customized products

S Zhang, J Xu, H Gou, J Tan - Engineering, 2017 - Elsevier
The development of technologies such as big data and cyber-physical systems (CPSs) has
increased the demand for product design. Product digital design involves completing the …