A classification fuzziness analysis method and device

An analysis method and a fuzzy technology, applied in the field of information processing, can solve problems such as poor reliability, and achieve the effect of improving efficiency, improving objectivity, and strong reliability

Active Publication Date: 2021-08-17
MASHANG CONSUMER FINANCE CO LTD
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Problems solved by technology

[0003] Embodiments of the present invention provide a classification fuzziness analysis method and device to solve the problem of poor reliability of fuzzy analysis results of knowledge base classification in the prior art

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  • A classification fuzziness analysis method and device
  • A classification fuzziness analysis method and device
  • A classification fuzziness analysis method and device

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0026] An embodiment of the present invention provides a classification fuzziness analysis method. see figure 1 , figure 1 It is a flow chart of the classification fuzziness analysis method provided by the embodiment of the present invention, such as figure 1 shown, including the following steps:

[0027] Step 101, input the N pieces of corpus in the knowledge base into the classification model, and obtain the probability of L classifications corres...

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Abstract

The present invention provides a classification fuzziness analysis method and device. The method comprises: inputting N pieces of corpus in a knowledge base into a classification model to obtain the probabilities of L classifications corresponding to each of the N pieces of corpus; Describe the probability of the L classifications corresponding to each piece of corpus, determine the M classifications corresponding to each piece of corpus; respectively form classification data pairs in every two classifications in the M classifications corresponding to each piece of corpus; determine each The first fuzzy correlation coefficients of the classified data pairs; according to the first fuzzy correlation coefficients of all the classified data pairs, calculate the fuzziness index of each of the K classifications. The classification fuzziness analysis method provided by the invention can not only improve the objectivity of the fuzziness analysis of the knowledge base classification, make the obtained analysis results more reliable, but also improve the efficiency of the fuzziness analysis of the knowledge base classification.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a classification fuzziness analysis method and device. Background technique [0002] With the wide application of deep learning and machine learning in semantic recognition and image classification, the optimization of intelligent systems has become the main research direction. Among them, the knowledge base is an important part of the intelligent system, and its performance often greatly affects the performance of the intelligent system. Taking a question answering system (for example, a customer service robot) as an example, the accuracy of the classification of corpus in the knowledge base of a question answering system often greatly affects the accuracy of the question answering system. At present, the ambiguity of knowledge base classification is usually analyzed manually based on experience. This method is not only time-consuming, but also the accuracy of th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35
CPCG06F16/35
Inventor 刘睿靳丁南罗欢权圣
Owner MASHANG CONSUMER FINANCE CO LTD
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