By Kevin E. Voges, Nigel K. Ll Pope
Computational intelligence has an extended heritage of functions to enterprise - professional platforms were used for choice help in administration, neural networks and fuzzy good judgment were utilized in strategy regulate, various strategies were utilized in forecasting, and knowledge mining has develop into a center section of patron dating administration in advertising and marketing. whereas there's literature in this box, it truly is unfold over many disciplines and in lots of various courses, making it tough to discover the pertinent details in a single resource. company purposes and Computational Intelligence addresses the necessity for a compact evaluate of the variety of functions in a couple of company disciplines, and contains chapters written via top overseas researchers. Chapters conceal so much fields of commercial, together with: advertising, facts mining, e-commerce, creation and operations, finance, decision-making, and basic administration. company purposes and Computational Intelligence presents a complete assessment of study into computational intelligence purposes in enterprise, making a strong consultant for either newbies and skilled researchers.
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Extra resources for Business Applications And Computational Intelligence
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The brain is a mysterious thing and people find the idea that in some areas it can be improved upon by a computer very hard to swallow. The second problem is that people have difficulty believing that a computer can learn. If a person does not understand the concepts of computer learning and how it is possible to use data to make a computer learn, then it is hard for them to make the conceptual leap required to believe that a computer could be good at something that they see as a very human ability.
New York: Physica-Verlag. , & Goebel, R. (1998). Computational intelligence: A logical approach. New York: Oxford University. , & Bahri, P. A. (2005). Integration techniques in intelligent operational management: a review. Knowledge-Based Systems, 18(2-3), 89-97. Prem, E. (1997). The behavior-based firm: Application of recent AI concepts to company management. Applied Artificial Intelligence, 11, 173-195. Proudlove, N. , & Kobbacy, K. A. H. (1998). Intelligent management systems in operations: A review.
2003). Three perspectives of data mining. Artificial Intelligence, 143(1), 139-146. , & Matsatsinis, N. F. (1997). On the use of knowledgebased decision support systems in financial management: A survey. Decision Support Systems, 20(3), 259-277. Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. Making Decisions with Data 19 Chapter II Making Decisions with Data: Using Computational Intelligence within a Business Environment Kevin Swingler, University of Stirling, Scotland David Cairns, University of Stirling, Scotland Abstract This chapter identifies important barriers to the successful application of Computational Intelligence (CI) techniques in a commercial environment and suggests a number of ways in which they may be overcome.