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Rough set-based confidence rule extraction method and system, and medium

An extraction method and rough set technology, which is applied in the field of confidence rule extraction based on rough sets, can solve problems such as inconsistent standards, difficulty in obtaining expert experience, and long establishment period of the initial confidence rule base system, and achieve the effect of improving reasoning accuracy

Inactive Publication Date: 2019-06-18
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, in the process of establishing the initial confidence rule base system, due to various reasons such as difficulty in obtaining expert experience and inconsistent standards, the establishment period of the initial confidence rule base system is often long, and the initial confidence rule base system does not match the actual system.
How to quickly and effectively establish an initial belief rule base system has become an urgent problem to be solved, but there are still relatively few studies in this area

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  • Rough set-based confidence rule extraction method and system, and medium
  • Rough set-based confidence rule extraction method and system, and medium
  • Rough set-based confidence rule extraction method and system, and medium

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Embodiment Construction

[0045] In order to better illustrate the technical solution of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, and are not intended to limit the present invention.

[0046] Most of the previous studies on the confidence rule base were based on an example of oil pipeline leak detection. In the following, the method, system and medium for extracting confidence rules based on rough sets of the present invention will be further described in detail by taking oil pipeline leak detection as an example. The problem of pipeline leak detection takes a 100-kilometer oil pipeline installed in the UK as the research object. The pattern of the change, and then affect the size of the leak (LeakSize, referred to as LS). Undoubtedly, the rough set-based belief rule extraction method, system...

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Abstract

The invention discloses a rough set-confidence rule extraction method and system, and a medium. The implementation steps of the method comprise: establishing a knowledge expression system for an object of a confidence rule base and a data set thereof, determining the number of initial reference values, setting the initial width of a reference value interval as a fixed value, carrying out equivalent class division, calculating confidence, and extracting a confidence rule; Reasoning a confidence rule base established by the test set based on the extracted confidence rule; and optimizing the number of reference values and the reference value interval according to the reasoning result to obtain the optimal number of reference values and the reference value interval, then performing equivalentclass division based on the optimal number of reference values and the reference value interval, and calculating confidence to extract a confidence rule. According to the reasoning result, the initially determined attribute index is optimized, so that the optimal attribute index value can be obtained, and the reasoning precision of the confidence rule base system can be improved.

Description

technical field [0001] The invention relates to a confidence rule base technology, in particular to a method, system and medium for extracting confidence rules based on rough sets, which are used to realize the extraction of confidence rules based on rough sets. Background technique [0002] In order to effectively use quantitative information and incomplete or uncertain information provided by experts to model complex problems, Yang et al. proposed a belief rule-base inference method using the evidential reasoning approach , referred to as RIMER). The confidence rule base reasoning method combines the knowledge of D-S evidence theory, decision theory, fuzzy theory and traditional IF-THEN rule base, and can analyze data with fuzzy or fuzzy uncertainty, incomplete or probabilistic uncertainty, and nonlinear characteristics. for modeling. At present, the reasoning method of confidence rule base has been widely used in oil pipeline leak detection, fault diagnosis, intention r...

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Application Information

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IPC IPC(8): G06N5/04G06N3/12G06F16/21
Inventor 黄健鱼蒙龚建兴孔江涛郝建国刘权张中杰袁兴生
Owner NAT UNIV OF DEFENSE TECH
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