Titlebook: Soft Computing Applications in Business; Bhanu Prasad Book 2008 Springer-Verlag Berlin Heidelberg 2008 Markov.Markov model.audit.calculus.

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Ensembles of Classifiers in Arrears Management,es a brief background on issues related ensemble construction and data set imbalance. It describes the application of ensembles of neural network classifiers and rule based classifiers to the prediction of potential defaults for a set of personal loan accounts drawn from a medium sized Australian fi

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Predicting the Effects of Alternative Pricing Strategies in an Artificial Society Undergoing Technore we describe an artificial society of “soft computing agents” (model consumers) making probabilistic purchasing decisions about new technological products that are introduced by competing firms. The model is studied under varying conditions to determine the relative success of these firms as they

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An Evolutionary Programming Based Knowledge Ensemble Model for Business Risk Identification,roposed to design an intelligent business risk identification system, which is composed of two procedures. First of all, some data mining and knowledge discovery algorithms are used to explore the implied knowledge about business risk hidden in the business data. Then the implied knowledge generated

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The Application of Fuzzy Decision Trees in Company Audit Fee Evaluation: A Sensitivity Analysis,e sensitivity of the results. With the rudiments of fuzzy decision trees in a fuzzy environment, it implies a linguistic emphasis on the concomitant analysis, allowing readability in the fuzzy decision rules constructed. Two processes for the construction of membership functions (MFs) used to define

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,An Exposition of NCaRBS: Analysis of US Banks and Moody’s Bank Financial Strength Rating,s Bank Financial Strength Rating (BFSR). The rudiments of NCaRBS are based around uncertain reasoning, through Dempster-Shafer theory. As such, the analysis is undertaken with the allowed presence of ignorance throughout the necessary operations. One feature of the analysis of US banks on their BFSR

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Probabilistic Sales Forecasting for Small and Medium-Size Business Operations,are usually based on mental models that are not well defined, may be biased, and are difficult to refine and improve over time. Defining sales forecasting models for small- and medium-size business operations is especially difficult when the number of sales events is small but the revenue per sales

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