Confidence Dominance Relational Rough Set Model and Attribute Reduction Method

A technology of attribute reduction and rough set, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as incomplete order information, under-consideration of "order" system characteristics, semantic contradictions, etc.
CN103646118BActive Publication Date: 2017-01-18CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
Publication Date
2017-01-18

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Abstract

The invention discloses a confidence dominance-based rough set analysis model and two attribute reduction methods, which are applicable to solving the incomplete preference decision problem and discovers the more important attribute to a decision under consistent or inconsistent information. The invention provides a new expanded dominance relation, namely confidence dominance relation which obeys order relation characteristics including reflexivity, transitivity and order symmetry, compared with the existing expanded dominance relation, the confidence dominance relation can avoid semantic conflict, and the approximation precision and classification accuracy of the approximate confidence dominance-based rough set analysis model are more excellent through theorem proving and instance analysis. In addition, in order to find out the more important attributes of the decision and aiming at the incompletely consistency and inconsistency conditions, the invention also discloses the two attribute reduction methods under the confidence dominance relation, including an identification matrix-based attribute reduction method and a classification precision-based heuristic attribute reduction method.
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Description

technical field

[0001] The invention relates to a data attribute reduction method, in particular to a confidence-dominant relation rough set model and an attribute reduction method. Background technique

[0002] With the rapid development of computer network technology, the amount of data in various fields increases rapidly. However, due to the limitations of data acquisition technology, transmission failures and some human factors, data defects and loss often occur. In the real world, due to the complexity and uncertainty of the environment, people will face decision-making problems with uncertain, incomplete and decision-preferred information.

[0003] Rough set theory is based on equivalence relation (satisfying reflexivity, symmetry and transitivity), and it is a new mathematical tool for dealing with uncertain and ambiguous information. Dominance-based Rough Set Analysis (DRSA) uses the dominance relation (satisfying reflexivity and transitivity) to replace the equival...

Claims

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