Information Reduction Model about Rough Set Theory

Fei He; Hua Min Yang

doi:10.4028/www.scientific.net/AMR.846-847.1347

Paper Titles

The Process of Ant Algorithm for Solving the Degree-Constrained Euclidean Steiner Minimal Tree
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Data Processing Modeling for Reference Materials Preparation
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Face Image Segmentation Technology Research
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Identification of Dangerous Driving Behaviors Based on Neural Network and Bayesian Filter
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Information Reduction Model about Rough Set Theory
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Lettuce Images Features Extraction and Intelligent Classification of Growth Period
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Research on the Application of Computer Virtual Image Technology in Artistic Photography
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Analysis on the Structure and the Hidden Markov Model
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Performance Analysis of Local Optimization Algorithms in Traveling Salesman Problem
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Information Reduction Model about Rough Set Theory

Information Reduction Model about Rough Set Theory

Abstract:

According to the problem that the whole data and information is always necessary, using rough set theory as a guide, making some analyses on reduction in knowledge base and information system, this paper propose a general mode structure of reduction. It shows that there are three terms in process of reduction and the most important term is definition and measure of ability.