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Computational Intelligence Techniques for New Product Design

Overview of attention for book
Cover of 'Computational Intelligence Techniques for New Product Design'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Intelligence Techniques for New Product Design
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    Chapter 2 Computational Intelligence Technologies for Product Design
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    Chapter 3 Determination of Importance of Customer Requirements Using the Fuzzy AHP Method
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    Chapter 4 An Enhanced Fuzzy AHP Method with Extent Analysis for Determining Importance of Customer Requirements
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    Chapter 5 Development of Product Design Models Using Classical Evolutionary Programming
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    Chapter 6 Development of Product Design Models Using Fuzzy Regression Based Genetic Programming
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    Chapter 7 Generalized Fuzzy Least Square Regression for Generating Customer Satisfaction Models
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    Chapter 8 An Enhanced Neuro-fuzzy Approach for Generating Customer Satisfaction Models
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    Chapter 9 Optimization of Customer Satisfaction Using an Improved Simulation Annealing
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    Chapter 10 An Enhanced Genetic Algorithm Integrated with Orthogonal Design
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    Chapter 11 A Nonlinear Fuzzy Regression for Developing Manufacturing Process Models
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    Chapter 12 Rule Extraction from Experimental Data for Manufacturing Process Design
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    Chapter 13 Conclusion and Future Work
Attention for Chapter 7: Generalized Fuzzy Least Square Regression for Generating Customer Satisfaction Models
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Chapter title
Generalized Fuzzy Least Square Regression for Generating Customer Satisfaction Models
Chapter number 7
Book title
Computational Intelligence Techniques for New Product Design
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-27476-3_7
Book ISBNs
978-3-64-227475-6, 978-3-64-227476-3
Authors

Kit Yan Chan, C. K. Kwong, Tharam S. Dillon

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Engineering 1 100%

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