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System and method of multi-classification based on limited fuzzy rule in big data environment

A big data and multi-classification technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of big data models that take a lot of time, efficiency is not very ideal, and training time is long, etc., to achieve improvement Classification efficiency, guarantee classification accuracy, and effect of reducing errors

Inactive Publication Date: 2018-03-20
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] The disadvantage of the definite rule algorithm is that the efficiency is not very ideal, the training time is relatively long, and it takes a lot of time to establish the big data model; secondly, the application of the definite rule algorithm to the fuzzy rules needs to be further extended

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  • System and method of multi-classification based on limited fuzzy rule in big data environment
  • System and method of multi-classification based on limited fuzzy rule in big data environment
  • System and method of multi-classification based on limited fuzzy rule in big data environment

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Embodiment Construction

[0027] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0028] In order to solve the above technical problems, the multi-classification system based on limited fuzzy rules in the big data environment is mainly divided into two parts: fuzzy reasoning and fuzzy system.

[0029] 1. Fuzzy reasoning

[0030] Fuzzy reasoning is the use of fuzzy rules in classical reasoning. In the reasoning process of p→q, the fuzzy rule IF-THEN is used to replace p and q propositions, and the operators ∨ and ∧ are replaced by fuzzy complement, fuzzy union and fuzzy intersection, then the fuzzy rules can be expressed:

[0031] IF1 >THEN2 > (1)

[0032] Assuming FP 1 is a definition in U=U 1 ×…×U n Fuzzy relation on , FP 2 is a definition where V=V 1 ×…×V n The fuzzy relationship on U, x and y are linguistic variables (vectors) on U and V, respectively. The fuzzy reasoning of p→q's reasoning equivalence formula ...

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Abstract

The present invention relates to a system and a method of multi-classification based on a limited fuzzy rule in a big data environment, belonging to the big data classification field. The system comprises a fuzzy generator, a fuzzy inference machine, a basic knowledge base and a defuzzifier. The fuzzy generator performs one-to-one mapping of points determined by an input discourse domain U to a fuzzy set on the U; the basic knowledge base is formed by a plurality of fuzzy rule 'if-then' rules, the fuzzy rules comprise many types, and each type of fuzzy rule is formed by a data rule and a basicrule; the fuzzy inference machine employs the fuzzy rules to correspond the fuzzy set on the discourse domain U and a fuzzy set on an output discourse domain V on the basis of a fuzzy logic principle; and the defuzzifier performs one-to-one mapping of the fuzzy set on the V to points determined on the V. The system and the method of multi-classification based on the limited fuzzy rule in the bigdata environment greatly improve the classification efficiency, and perform supplement of positive and negative rules of determinative rules so as to reduce errors caused by fuzzy operation and ensurea classification accuracy.

Description

technical field [0001] The invention belongs to the field of big data classification, and relates to a multi-classification system and method based on defined fuzzy rules in a big data environment. Background technique [0002] In recent years, with the advent of the era of big data, people urgently need to develop more convenient and effective tools to quickly and accurately classify the massive information collected, so as to extract the desired, concise, refined and understandable information. Knowledge. Data is the precious wealth accumulated in the operation of enterprises, which exists in the operating environment and analysis environment. The operating environment supports basic business operations, and the analysis environment supports the decision analysis needs of enterprises on the basis of integrating and refining operating environment data. Therefore, data plays an irreplaceable role in enterprise operation support and decision analysis. The acquisition of big...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/24
Inventor 熊安萍蒋亚雄祝清意段杭彪丁世旺
Owner CHONGQING UNIV OF POSTS & TELECOMM
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