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To design the methods of textual information authenticity controlling in systems of electronic document circulation authors offered the new approaches based on application the fuzzy semantic hyphernet and use of statistical and structural information redundancy. The models, algorithms and programmed-sold modules of text processing authenticity controlling system are developed for extraction of structural...
The safety analysis methods of the current management of traditional safety system that are the method of the fault tree analysis (FTA) and the information system of safety management (monitoring) are integrated and optimized by applying the data mining association algorithm. The new theoretical model of the management of the mining safety system is established to avoid the shortcomings that are omissions,...
In this paper, we present a method for solving the partitioning problem of complex knowledge bases. This proposed method utilizes the feature of fuzzy cognitive map (FCM) to construct partitioning rules, the partition algorithm based on strongly connected of directed graph helps to partition a fuzzy cognitive map into a series of sub-FCM. Further, we discuss the inference among sub-FCM. Finally, an...
For solving problems in a large-scale distributed Web environment, we proposed beta-PSML (problem solver markup language). We have studied the theoretical problems of beta-PSML constructed by combining description logic and Horn clauses. In the nonrecursive case, we show that a single step of applying a Horn clause needs to be replaced by a more sophisticated reasoning step in beta-PSML. We call it...
In this paper, the focus is on how context information can be efficiently modeled with an ontology. This ontology can than be used by reasoning algorithms which are based on this context information. This is illustrated with a use case which studies the evolution from a place oriented to a person oriented nurse call system. An ontology was designed which holds the necessary context information. A...
Reduction of knowledge is one of the important issues in the research of rough set theory. It has been proven that the search for an optimal (minimal) reduction of decision table is NP-hard problem. Thus people have been trying to search for more efficient heuristic algorithms to get an approximate reduction of decision table all the time. Every heuristic must depends on a measure of the significance...
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