THE REPRESENTATION AND CLUSTERING OF NUMERIC ATTRIBUTES IN CONCEPT FORMATION
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Abstract:
In order that the probabilistic logic reasoning under uncertainty can be used for 1arge scale knowledge-base,this paper presents a clustering-algorithm for decomposi-tion of probabilistic logic formula set based on the general consistence assigning algorithm for Drobabilistic logic and the experience of developing the knowledge-base in an practical expert system. It ensures that the united-model of Dantzig-Wolfe decomposition can be used for probabilistic logic reasoning on probabilistic logic knowledge-base with different background,provided the formula set hold certain hierarchical structure.Experiments show that the algorithm performs successfully on instances with dozens of variables and clauses.
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