Modeling decision-maker preferences using evolution based on...

Details Modeling decision-maker preferences using evolution based on... Modeling decision-maker preferences using evolution based on...

2005-12-06

2005-12-06

Jones, Hugh (Department: 2128)

Data processing: structural design, modeling, simulation, and em

Modeling by mathematical expression

C706S013000, C706S046000

Reexamination Certificate

active

06973418

ABSTRACT:
Techniques for modeling the preferences of a decision-maker using sampled pair-wise preferences involve identifying a set of alternatives to be presented to the decision-maker and identifying a set of attributes associated the alternatives. The alternatives are each characterized by a set of values for the attributes. A sample set of pair-wise preferences among a subset of the alternatives is obtained and a model of preferences is generated by iteratively generating a set of candidate models and evaluating the candidate models using a fitness measure which is based on the sample set of pair-wise preferences. The models may take into account character attributes associated with potential decision-makers.

REFERENCES:
patent: 5740323 (1998-04-01), Nomura et al.
patent: 6591257 (2003-07-01), Martinka et al.
Terano et al.; Marketing data analysis using inductive learning and genetic algorithms with interactive- and automated-phases IEEE Int Conf. Evolutionary Computation; pp. 771-776; 1995.

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