Method and device of generating fuzzy rules

A regular and fuzzy technology, applied in the field of data processing, can solve problems such as difficult and effective processing of the DTRS model

Inactive Publication Date: 2018-02-02
SICHUAN NORMAL UNIVERSITY +1
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Problems solved by technology

In both cases, the DTRS model is difficult to handle effectively

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  • Method and device of generating fuzzy rules
  • Method and device of generating fuzzy rules
  • Method and device of generating fuzzy rules

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Embodiment Construction

[0013] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without cre...

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Abstract

Embodiments of the present invention provide a method and device for generating fuzzy rules, which relate to the technical field of data processing. The method includes obtaining a fuzzy decision table, the fuzzy decision table includes a non-empty finite object set, a non-empty finite condition attribute set and a non-empty finite decision attribute; then based on the fuzzy decision table, an FDTRS model is established, based on the FDTRS model and the preset risk Loss value, obtain the positive domain, negative domain and boundary domain in the fuzzy decision table, and then obtain the approximate classification accuracy of each condition attribute in the non-empty finite condition attribute set relative to the decision attribute; then based on the approximate classification accuracy, obtain the fuzzy decision table Attribute reduction set; based on the attribute reduction set, non-empty finite object set, non-empty finite decision attribute and preset calculation rules, calculate the classification value of the fuzzy language variable of each conditional attribute in the attribute reduction set relative to the decision attribute ; If the classification value is not less than the preset threshold, a fuzzy rule is generated. More accurate and effective.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a fuzzy rule generation method and device. Background technique [0002] Decision-theoretic rough set DTRS (decision-theoretic rough set, DTRS) theory is a rough set theory and method proposed by Professor Yao of the University of Regina in Canada in the early 1990s. This theory introduces the probability inclusion relationship in the classic rough set RS (rough set, RS), and determines the concept boundary through the Bayesian risk decision-making method, and establishes a rough set positive domain, negative domain and boundary domain model with a noise tolerance mechanism. The model has been successfully applied in data analysis, machine learning, graphics processing and other fields. Although the DTRS model extends the classical rough set model, however, DTRS still has limitations. First of all, in terms of data expression, the DTRS model is still based on equivalenc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N7/02
CPCG06N7/023
Inventor 冯林陈苹
Owner SICHUAN NORMAL UNIVERSITY
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