Computational intelligence techniques for new product design

Using computational intelligence in product design is a fast-growing and promising research area in computer sciences and industrial engineering. These assembled papers from the CIMA 2010 workshop cover the full spectrum of topics in this exciting field

Bibliographic Details
Main Authors: Chan, Kit Yan (Author), Dillon, Tharam S. , 1943- (Author), Kwong, C. K. (Author)
Format: Book
Language:English
Published: Heidelberg, Germany ; New York : Springer , c2012
Series:Studies in computational intelligence v. 403
Subjects:

MARC

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020 |a 3642274757 (hardback : alk. paper) 
020 |a 3642274765 (ebook) 
020 |a 9783642274756 (hardback : alk. paper) 
020 |a 9783642274763 (ebook) 
050 0 0 |a Q342   |b .C43 2012 
090 0 0 |a Q342   |b .C43 2012 
100 1 |a Chan, Kit Yan ,   |e author 
245 1 0 |a Computational intelligence techniques for new product design   |c Kit Yan Chan, C. K. Kwong, and Tharam S. Dillon 
260 |a Heidelberg, Germany ;   |a New York :   |b Springer ,   |c c2012 
300 |a xiii, 239 p. :   |b ill. ;   |c 24 cm. 
490 1 |a Studies in computational intelligence   |v v. 403 
504 |a Includes bibliographical references and index 
505 0 |a 1. Integrated product design -- 2. Computational intelligence technologies for product design -- 3. Determination of importance of customer requirements using the fuzzy AHP method -- 4. An enhanced fuzzy AHP method with extend analys is for determining importance of customer requirements -- 5. Development of product design models using classical evolutionary programming -- 6. Development of product design models using a fuzzy regression based genetic programming -- 7. Generalized fuzzy least square regression for generating customer statisfaction model -- 8. An enhanced neuro-fuzzy approach for generating customer statisfaction models -- 9. Optimization of customer statisfaction using an improved simulation annealing -- 10. An enhanced algorithm integrated with orthogonal design -- 11. A nonliner fuzzy regression for developing manufacturing process models -- 12. Rule extraction from experimental data for manufacturing process design -- 3. Conclusion and future work 
520 |a Using computational intelligence in product design is a fast-growing and promising research area in computer sciences and industrial engineering. These assembled papers from the CIMA 2010 workshop cover the full spectrum of topics in this exciting field 
650 0 |a Computational intelligence 
650 0 |a New products 
650 0 |a Product design 
700 1 |a Dillon, Tharam S. ,   |d 1943- ,   |e author 
700 1 |a Kwong, C. K. ,   |e author 
999 |a 1000152393   |b Book   |c OPEN SHELF (30 DAYS)   |e Tembila Campus