Device and method for cases illation based on cases tree

Abstract

The invention discloses a case reasoning device and the method based on a case tree, wherein, the device comprises a case tree memory module, an information input module, a search module, and an information output module; the method comprises the following steps: first, judging whether the similarity of the root node of the case tree and the feature information of the problem accords with the set value; if according with the set value, then implementing the second step; otherwise, implementing the fourth step; second, judging whether the similarity of the child nodes in the case tree accords with the set value in order; if in conformity with the set value, then judging whether the similarity of the subordinate child nodes of the child nodes and the feature information of the problem accords with the set value; otherwise, finishing the judgment to the similarity of the subordinate child nodes; third, repeating the second step until finding all the nodes with the similarity according with the set value; fourth, outputting the reason and solution of the problem corresponding to the nodes with the similarity in conformity with the set presentation threshold value in the nodes. The invention has the advantages that the reasoning speed is improved greatly and the method is convenient.

Description

technical field [0001] The invention relates to a device and method for case reasoning, in particular to a device and method for case reasoning based on a case tree. Background technique [0002] Case-based reasoning is an important category in the field of artificial intelligence, which aims to use answers to old problems or accumulated problem-solving experience to solve new problems. [0003] The case is the expression of experience, a case may be a time, a situation, or some records. The content of the case can be divided into at least two parts: the description of the problem situation (that is, the characteristic value, that is, the value of the characteristic item of the case), and the cause of the problem and the solution. [0004] Case-based reasoning stores past cases or experiences in the case library, and when a new problem arises, it searches for similar cases in the case library to obtain a solution. When the solution to the problem has been verified as corre...

AI Technical Summary

Problems solved by technology

[0015] In the nearest neighbor retrieval method, the cases to be retrieved are directly stored in the case database. When the case database grows to a certain size, or when there are many index attributes of the cases, the efficiency of this search method will be very poor.

[0016] The basis of the inductive retrieval method is to build a decision tree based on rules. In practice, building a decision tree based on rules requires a large number of comprehensive and complete rules, and it is difficult to extract complete rules from cases. In addition, when cases and rules have new When the increase of , it is necessary to rebuild the decision tree; in the actual retrieval process, if some data is lost or cannot be obtained, it will lead to the inability to retrieve

[0017] From the above analysis, it can be seen that in the case reasoning process based on the above retrieval method in the prior art, the case reasoning cannot be performed quickly and conveniently due to the unfavorable retrieval.

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