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There is a lot of vague information about TCM (Traditional Chinese Medicine) diagnosis difficult to understand through computer. Reasoning process, by coalescing of the CBR (Case-based Reasoning) and FBR (Fuzz-based Reasoning) in artificial intelligence, makes up for shortcomings of their alone, can achieve a good understanding of information in TCM diagnosis. As for the new diagnostic features, the...
Customer information-mining in e-commerce is very important. ID3 algorithm is a mining one based on decision tree, which selects property value with the highest gains as the test attribute of its sample sets, establishes decision-making node, and divides them in turn. ID3 algorithm involves repeated logarithm operation, and it will affect the efficiency of generating decision tree when there are a...
It is the basic way to enhance service ability to predict customer behavior in the process of E-commerce activities. Through applying temporal description logic (TL-ALCF) in describing the rules of time-dependent customer behavior change, this article puts forward a method in acquiring algorithms through improving the temporal correlated rules of the FP-tree(frequent pattern tree), and further constructs...
On the study of knowledge representation and reasoning, there is certain of limitations that one of Description Logic and Horn Rule is used merely. It can solve the Uncertain Reasoning problem that Description Logic is used as the constraint condition of Horn rule reasoning process, which can realize a combined reasoning of Description Logic and Horn Rule. Probability uncertain reasoning algorithm...
Human Constitution is a complex multi-factor, and is difficult to get accurate results using TCM (Traditional Chinese Medicine) Constitution classification and criterion. AFSA (Artificial Fish School Algorithm) is an optimization algorithm based on biological models. The coding scheme of the Classification rule is designed by using AFSA, the more accurate Classification Rule Model is constructed by...
Description Logic is the logical basis of Semantic Web knowledge representation and reasoning, it has strong capacity of expression, but it is not applicable to uncertain knowledge representation and reasoning. Horn rule is a proper subset of first-order predicate logic, which can be determined, its implication expression makes the description closer to a natural description of the problem, but it...
The traditional role-based access control mechanism controls the user to access the resources based on the roles, simplifying security management. However, it cannot effectively provide semantic understanding and reasoning due to lack formal mechanisms. A new Description Logics-based access control model is presented, it applies Description Logics to realize a formal description of the relationship...
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