Computational intelligence has a long history of applications to business - expert systems have been used for decision support in management, neural networks and fuzzy logic have been used in process control, a variety of techniques have been used in forecasting, and data mining has become a core component of customer relationship management in marketing. While there is literature on this field, it is spread over many disciplines and in many different publications, making it difficult to find the pertinent information in one source. Business Applications and Computational Intelligence addresses the need for a compact overview of the diversity of applications in a number of business disciplines, and consists of chapters written by leading international researchers. Chapters cover most fields of business, including: marketing, data mining, e-commerce, production and operations, finance, decision-making, and general management. Business Applications and Computational Intelligence provides a comprehensive review of research into computational intelligence applications in business, creating a powerful guide for both newcomers and experienced researchers.
About the Author
Dr. Kevin Voges is a Senior Lecturer in Marketing in the Department of Management at the University of Canterbury, New Zealand. He completed a Bachelor’s degree in psychology and philosophy at the University of Tasmania, a Masters and Doctor of Philosophy (Psychology) at Massey University, NZ, and an MBA from the University of Queensland. He has taught research methods in education, psychology and marketing for several decades. His research interest is the application of computational intelligence techniques to business, particularly rough sets theory and evolutionary algorithms. He has also published in sports marketing and marketing communications.