Computational Intelligence Techniques for New Product Design: Studies in Computational Intelligence, cartea 403
Autor Kit Yan Chan, C. K. Kwong, Tharam S. Dillonen Limba Engleză Paperback – 13 apr 2014
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Specificații
ISBN-13: 9783642440670
ISBN-10: 3642440673
Pagini: 256
Ilustrații: XIV, 242 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2012
Editura: Springer
Colecția Studies in Computational Intelligence
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642440673
Pagini: 256
Ilustrații: XIV, 242 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2012
Editura: Springer
Colecția Studies in Computational Intelligence
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Professional/practitionerCuprins
From the content: Integrated product design.- Computational intelligence technologies for product design.- Determination of importance of customer requirements using the fuzzy AHP method.- An enhanced fuzzy AHP method with extend analys is for determining importance of customer requirements.- Development of product design models using classical evolutionary programming.- Development of product design models using a fuzzy regression based genetic programming.
Textul de pe ultima copertă
Applying computational intelligence for product design is a fast-growing and promising research area in computer sciences and industrial engineering. However, there is currently a lack of books, which discuss this research area. This book discusses a wide range of computational intelligence techniques for implementation on product design. It covers common issues on product design from identification of customer requirements in product design, determination of importance of customer requirements, determination of optimal design attributes, relating design attributes and customer satisfaction, integration of marketing aspects into product design, affective product design, to quality control of new products. Approaches for refinement of computational intelligence are discussed, in order to address different issues on product design. Cases studies of product design in terms of development of real-world new products are included, in order to illustrate the design procedures, as well as the effectiveness of the computational intelligence based approaches to product design. This book covers the state-of-art of computational intelligence methods for product design, which provides a clear picture to post-graduate students in industrial engineering and computer science. It is particularly suitable for researchers and professionals working on computational intelligence for product design. It provides concepts, techniques and methodologies, for product designers in applying computational intelligence to deal with product design.
Caracteristici
Recent research on Computational Intelligence Techniques for New Product Design Discusses applications of Computational Intelligence to Product Design Written by leading experts in the field
Notă biografică
Dr Bilal Abu Salih holds a Ph.D. in Information Systems with a focus on Social Big Data Analytics from Curtin University since 2018. He is an Assistant Professor in the Computer Science Department in King Abdullah II School of Information Technology, The University of Jordan, Jordan. Bilal also a University Associate, Curtin University, Australia. He worked with cross-disciplinary funded research projects which are related to data analytics, machine learning, data mining of social media, and big data analysis.
Dr Pornpit Wongthongtham aka Dr Ponnie Clark is the recipient of a PhD in Information Systems, Master of Science in Computer Science, and Bachelor of Science in Mathematics. Her research areas of expertise include Ontology and Linked Data, Text Mining, Social Data Analytics, Trustworthiness, Artificial Intelligence, and the like. She has over two decades of academic experience including in research and development involving multi-disciplinary areas. She is currently a senior research fellow at School of Physics, Maths and Computing, the University of Western Australia.
Dr Dengya (Simon) Zhu is an adjunct research fellow at the School of Management, Curtin Business School. He has a broad range of experience in government, industry, and academic research. Dr Zhu's research interests include big data, data mining, machine learning, natural language processing, information retrieval, sentiment analysis, open-source software, and software development. His research projects are usually practically oriented to address real-world issues.
Kit Yan Chan received his Ph.D. degree in Computing in 2006 from London South Bank University, United Kingdom, and is currently a Senior Lecturer at Curtin University, Australia. Dr Kit Yan Chan has worked as a Full-Time Researcher at Hong Kong Polytechnic University (2004-2009) and Curtin University (2009-2013). Dr Kit Yan Chan is an Associate Editor for IJFS, and the editorial board of the Journal of Engineering Design. His research interests are mainly in artificial intelligence and new product development.
Dr. Amit Rudra is a lecturer in the School of Management at Curtin University, Australia. He holds a BSc (Hons) in Mathematics and an MSc in Operational Research from the University of Delhi; a Post MSc Diploma in Computer Science from IIT, Delhi and a PhD in Computer Science from Curtin University, Australia. Dr. Amit Rudra has extensive experience in the areas of database, data warehousing, data mining, and ERP systems. Currently, he coordinates the Big Data Working group in the School of Management at Curtin Business School.