Rough set attribute reduction method based on genetic algorithm

A technique of genetic algorithm and attribute reduction, which is applied in the direction of knowledge-based computer systems, calculations, calculation models, etc., can solve problems such as premature convergence, and achieve improved convergence, simple coding and fitness functions, and effective minimum The effect of reduction

Inactive Publication Date: 2010-06-30
SUN YAT SEN UNIV
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Problems solved by technology

[0003] However, the existing attribute reduction methods have the pr

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  • Rough set attribute reduction method based on genetic algorithm
  • Rough set attribute reduction method based on genetic algorithm
  • Rough set attribute reduction method based on genetic algorithm

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Embodiment Construction

[0021] 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 only some, not all, embodiments of the present invention. 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.

[0022] An embodiment of the present invention provides a rough set attribute reduction method based on an improved genetic algorithm, which can quickly and effectively obtain the minimum reduction of attributes in a decision table. Each will be described in detail below.

[0023] The invention uses attribute importance as the heuristic information to describe the mutation operator, introduces the heuristic genetic algorithm, adds attributes to the initial populatio...

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Abstract

The invention discloses a rough set attribute reduction method based on genetic algorithm. The method comprises: (1) obtaining a core of a decision table, and generating an initial population randomly by initialization; (2) controlling the initial population to correspond to the gene position thereof through the attribute core, and calculating a fit value according to fitness function; (3) repairing the population by adopting modification operator; (4) judging whether to satisfy the algorithm terminating condition, if yes, outputting the best individual, and if no, proceeding to (5); (5) performing survival-of-the-fittest operation to individuals in the population by using a selection operator in the genetic algorithm; (6) performing interlace operation to the population with interlace probability by adopting one-point interlace rule; and (7) performing mutation operation to the population according to a heuristic mutation operator with the gene position corresponding to the attribute core not mutated. The technical scheme of the invention is designed to rapidly and efficiently obtain the smallest reduction of attribute in the decision table and efficiently improve information accuracy.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a genetic algorithm-based rough set attribute reduction method. Background technique [0002] Rough set theory is a theoretical method proposed by Professor Pawlak of Warsaw University of Technology in Poland in the early 1980s to study the expression, learning and induction of incomplete and uncertain knowledge and data. It has been widely used in artificial intelligence, knowledge and data discovery. , Pattern recognition and classification, analysis and reasoning of imprecise data, etc. have achieved relatively successful applications. Attribute reduction is one of the core contents of rough sets, and it has been an important subject of data mining research for a long time. Attribute reduction refers to deleting unimportant and redundant attributes while keeping the classification or decision-making ability of the system unchanged; that is, the same classi...

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Application Information

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IPC IPC(8): G06N5/00G06N3/12
Inventor 罗笑南雷健陈曦
Owner SUN YAT SEN UNIV
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