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# Fuzzy rrDFCSP and planning

@article{Miguel2003FuzzyRA, title={Fuzzy rrDFCSP and planning}, author={Ian Miguel and Qiang Shen}, journal={Artif. Intell.}, year={2003}, volume={148}, pages={11-52} }

- Published 2003 in Artif. Intell.
DOI:10.1016/S0004-3702(03)00020-1

Constraint satisfaction is a fundamental Artificial Intelligence technique for knowledge representation and inference. However, the formulation of a static constraint satisfaction problem (CSP) with hard, imperative constraints is insufficient to model many real problems. Fuzzy constraint satisfaction provides a more graded viewpoint. Priorities and preferences are placed on individual constraints and aggregated via fuzzy conjunction to obtain a satisfaction degree for a solution to the problem… CONTINUE READING

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