Decision support systems and methods

Details Decision support systems and methods Decision support systems and methods

2009-07-13

2010-12-14

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Knowledge representation and reasoning technique

C706S016000, C706S046000, C706S048000

Reexamination Certificate

active

07853550

ABSTRACT:
In one aspect, the invention is based on a process that combines information present in a joint distribution of the predictor variables and the variable (or variables) to be predicted. This information may be captured in the form of a table or other like data structure that includes a set of vectors (referred to as a “TAB”). The process uses the information in the TAB in conjunction with one or more rules. In one embodiment, a set of different rules are applied to the TAB to determine which rule in the set produces the most accurate predictions. The RULE that produces the most accurate predictions is then used in conjunction with observed information to make predictions.

REFERENCES:
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patent: 2003/0040952 (2003-02-01), Keil et al.
Cho et al., Exploring artificial intelligence-based data fusion for conjoint analysis, Expert Systems with Applications 24 (2003) 287-294.
West et al., A Comparative Analysis of Neural Networks and Statistical Methods for Predicting Consumer Choice, Marketing Science, vol. 16, No. 4. (1997), pp. 370-391.

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