Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence
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Published By Springer Berlin Heidelberg

9783642274756, 9783642274763

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Generalized Fuzzy Least Square Regression for Generating Customer Satisfaction Models

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_7 ◽

2012 ◽

pp. 129-143

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Customer Satisfaction ◽

Least Square ◽

Least Square Regression

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Development of Product Design Models Using Fuzzy Regression Based Genetic Programming

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_6 ◽

2012 ◽

pp. 111-128 ◽

Cited By ~ 2

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Genetic Programming ◽

Product Design ◽

Fuzzy Regression ◽

Design Models

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Development of Product Design Models Using Classical Evolutionary Programming

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_5 ◽

2012 ◽

pp. 95-109

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Product Design ◽

Evolutionary Programming ◽

Design Models

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A Nonlinear Fuzzy Regression for Developing Manufacturing Process Models

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_11 ◽

2012 ◽

pp. 199-212

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Manufacturing Process ◽

Process Models ◽

Fuzzy Regression

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Rule Extraction from Experimental Data for Manufacturing Process Design

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_12 ◽

2012 ◽

pp. 213-228

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Experimental Data ◽

Process Design ◽

Manufacturing Process ◽

Rule Extraction

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An Enhanced Genetic Algorithm Integrated with Orthogonal Design

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_10 ◽

2012 ◽

pp. 177-197

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Genetic Algorithm ◽

Orthogonal Design

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An Enhanced Fuzzy AHP Method with Extent Analysis for Determining Importance of Customer Requirements

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_4 ◽

2012 ◽

pp. 79-93 ◽

Cited By ~ 7

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Fuzzy Ahp ◽

Customer Requirements ◽

Ahp Method

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Conclusion and Future Work

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_13 ◽

2012 ◽

pp. 229-236

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Future Work

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Integrated Product Design

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_1 ◽

2012 ◽

pp. 1-24

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Product Design

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Determination of Importance of Customer Requirements Using the Fuzzy AHP Method

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence ◽

10.1007/978-3-642-27476-3_3 ◽

2012 ◽

pp. 59-77 ◽

Cited By ~ 1

Author(s):

Kit Yan Chan ◽

C. K. Kwong ◽

Tharam S. Dillon

Keyword(s):

Fuzzy Ahp ◽

Customer Requirements ◽

Ahp Method

Download Full-text

Computational Intelligence Techniques for New Product Design - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Generalized Fuzzy Least Square Regression for Generating Customer Satisfaction Models

Development of Product Design Models Using Fuzzy Regression Based Genetic Programming

Development of Product Design Models Using Classical Evolutionary Programming

A Nonlinear Fuzzy Regression for Developing Manufacturing Process Models

Rule Extraction from Experimental Data for Manufacturing Process Design

An Enhanced Genetic Algorithm Integrated with Orthogonal Design

An Enhanced Fuzzy AHP Method with Extent Analysis for Determining Importance of Customer Requirements

Conclusion and Future Work

Integrated Product Design

Determination of Importance of Customer Requirements Using the Fuzzy AHP Method

Computational Intelligence Techniques for New Product Design - Studies in Computational Intelligence
Latest Publications