An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness

QR Code

An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness

Affective product design aims at incorporating customers’ affective needs into design variables of a new product so as to optimise customers’ affective satisfaction. Faced with fierce competition in marketplaces, companies try to determine the settings in order to maximise customers’ affective satis...

Full description

Bibliographic Details
Main Authors:	Chan, Kit Yan, Kwong, C., Dillon, Tharam, Fung, K.
Format:	Journal Article
Published:	Taylor & Francis 2011
Subjects:	fuzzy regression affective product design evolutionary algorithm
Online Access:	http://hdl.handle.net/20.500.11937/24671

Similar Items

Manufacturing modeling using an evolutionary fuzzy regression
by: Chan, Kit Yan, et al.
Published: (2011)

Modeling of epoxy dispensing process using a hybrid fuzzy regression approach
by: Chan, Kit Yan, et al.
Published: (2012)

A stepwise based fuzzy regression procedure for developing customer preference models in new product development
by: Chan, Kit Yan, et al.
Published: (2015)

Modeling of a liquid epoxy molding process using a particle swarm optimization based fuzzy regression approach
by: Chan, Kit Yan, et al.
Published: (2011)

A fuzzy ordinary regression method for modeling customer preference in tea maker design
by: Chan, Kit Yan, et al.
Published: (2014)

A genetic programming based fuzzy regression approach to modelling manufacturing processes
by: Chan, Kit Yan, et al.
Published: (2010)

Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers
by: Chan, Kit Yan, et al.
Published: (2009)

Computational Intelligence Techniques for New Product Design
by: Chan, Kit Yan, et al.
Published: (2012)

Fuzzy Regression for Perceptual Image Quality Assessment
by: Chan, Kit Yan, et al.
Published: (2015)

Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods
by: Chan, Kit Yan, et al.
Published: (2011)

Interval type-2 A-intuitionistic fuzzy logic for regression problems
by: Eyoh, Imo, et al.
Published: (2017)

Handling uncertainties in modelling manufacturing processes with hybrid swarm intelligence
by: Chan, Kit Yan, et al.
Published: (2011)

Using an evolutionary fuzzy regression for affective product design
by: Chan, Kit Yan, et al.
Published: (2010)

A guided search genetic algorithm using mined rules for optimal affective product design
by: Fung, K.Y., et al.
Published: (2014)

Design and evaluation on adaptive fuzzy speed control of mobile robot
by: Abdollahi, Mohammadreza
Published: (2011)

Modelling and optimization of fluid dispensing for electronic packaging using neural fuzzy networks and genetic algorithms
by: Chan, Kit Yan, et al.
Published: (2009)

An intelligent swarm based-wavelet neural network for affective mobile phone design
by: Ling, S., et al.
Published: (2014)

Identify texture of MRI human brain using Adaptive Fuzzy C-Means (AFCM) Algorithm / Faridatul Akma Mohd Noor
by: Faridatul Akma, Mohd Noor
Published: (2010)

Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data
by: Sleabi, Waleed Dhhan
Published: (2016)

Modified archive update mechanism of multi-objective particle swarm optimization in fuzzy classification and clustering
by: Rashed, Alwatben Batoul
Published: (2022)

Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms
by: Bundak, Caceja Elyca
Published: (2021)

Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin
by: Mohd Yassin, Ahmad Ihsan
Published: (2014)

Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks
by: Chan, Kit Yan, et al.
Published: (2011)

On-road sensor configuration design for traffic flow prediction using fuzzy neural networks and Taguchi method
by: Chan, Kit Yan, et al.
Published: (2013)

Adaptive complex neuro-fuzzy inference system for non linear modeling and time series prediction
by: Shoorangiz, Mohammadreza
Published: (2013)

Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim
by: Che Ibrahim, Mohd Erman Safawie
Published: (2012)

An integrated fuzzy regression–analysis of variance algorithm for improvement of electricity consumption estimation in uncertain environments
by: Azadeh, A., et al.
Published: (2011)

A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design
by: Chan, Kit Yan, et al.
Published: (2010)

Traffic flow prediction using orthogonal arrays and Takagi-Sugeno neural fuzzy models
by: Chan, Kit Yan, et al.
Published: (2014)

Fuzzy clustering method and evaluation based on multi criteria decision making technique
by: Sameer, Fadhaa Othman
Published: (2018)

Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers
by: Abdul Ghani, Nadiatul, et al.
Published: (2012)

A fuzzy clustering approach for determination of ideal points of new products
by: Chan, Kit Yan
Published: (2013)

An investigation into the factors affecting performance of fuzzy logic systems
by: Benatar, Naisan Ridvan
Published: (2015)

Development of a Mobile Robot Local Navigation System Based on Fuzzy-Logic Control and Actual Virtual Target Switching
by: Esmaeili Motlagh, Omid Reza
Published: (2006)

On using genetic algorithm for initialising semi-supervised fuzzy c-means clustering
by: Lai, Daphne Teck Ching, et al.
Published: (2016)

The Fuzzy and Dynamic Nature of Trust
by: Chang, Elizabeth, et al.
Published: (2005)

Prediction of Short-term Traffic Variables using Intelligent Swarm-based Neural Networks
by: Chan, Kit, et al.
Published: (2012)

Intelligence classification and fuzzy optimisation model of people with epilepsy / Siti Rahmah Awang
by: Awang, Siti Rahmah
Published: (2012)

Prediction of breast cancer relapse time in continuous scale based on type-2 TSK fuzzy model
by: Mahmoudian, Sayed Hamid
Published: (2010)

A Flexible Fuzzy Regression Method for Addressing Nonlinear Uncertainty on Aesthetic Quality Assessments
by: Chan, Kit Yan, et al.
Published: (2017)

Cannot write session to /tmp/vufind_sessions/sess_ge8a17d5pc3fape9kek1nh8q2s