By Kevin E. Voges, Nigel K. Ll Pope
Computational intelligence has a protracted historical past of functions to company - specialist platforms were used for choice aid in administration, neural networks and fuzzy common sense were utilized in technique keep watch over, a number of concepts were utilized in forecasting, and information mining has turn into a middle element of consumer courting administration in advertising. whereas there's literature in this box, it's unfold over many disciplines and in lots of diversified courses, making it tough to discover the pertinent details in a single resource. enterprise purposes and Computational Intelligence addresses the necessity for a compact evaluation of the range of functions in a couple of enterprise disciplines, and contains chapters written by way of major foreign researchers. Chapters disguise such a lot fields of commercial, together with: advertising and marketing, information mining, e-commerce, creation and operations, finance, decision-making, and normal administration. company purposes and Computational Intelligence presents a entire overview of study into computational intelligence functions in company, making a strong consultant for either rookies and skilled researchers.
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Extra resources for Business Applications And Computational Intelligence
A system for spotting people who fall into the interesting 10% in order to avoid the high risks and increase the low risk policies would leave the underwriters still doing their job on the majority of policies and give them an extra tool to help avoid very high risks. The CI system becomes the basis of a portfolio management system and the sale is then about better portfolio management and not about intelligent computing — a much easier prospect to sell. Within the context of the insurance fraud example, investigators spent a considerable amount of their time looking at routine cases.
Those prospects that are classified by the CI system as “customer” are treated as good prospects as they share sufficient characteristics with the existing customers. It must be remembered, however, that they currently fall into the non-customer category, so the use of the classification to predict that they would become customers if approached is erroneous. ” For example, if such a system were used to generate a mailing list for a direct-mail campaign, you would choose all the current non-customers who were classified as potential customers by the CI system and target them with a mail shot.
1999). Artificial intelligence and expert systems applications in new product development — a survey. Journal of Intelligent Manufacturing, 10(3-4), 231-244. Rechenberg, I. (1994). Evolutionsstrategie. Stuttgart: Fromman-Holzboog. Rosenblatt, F. (1958). The Perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65, 386-408. , & Maroto, C. (2005). A comprehensive review and evaluation of permutation flowshop heuristics. European Journal of Operational Research, 165(2), 479-494.
Business Applications And Computational Intelligence by Kevin E. Voges, Nigel K. Ll Pope