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Reduction Algorithms for Multi-Covering Information System

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Abstract:

This paper discusses the reduction algorithms of a multi-covering decision system. Firstly, we give the belief structure in a covering system and give a rule of information fusion of multi-covering information. Then, we introduce special conditional entropy of a covering decision system with multi-coverings by the fused mass function and study the reduction of multi-covering information by means of limited conditional entropy and consistent multi-covering decision systems by means of conditional entropy. Two algorithms are designed to compute reductions of a multi-covering system and a consistent covering decision system, respectively.

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Periodical:

Applied Mechanics and Materials (Volume 160)

Pages:

159-164

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.160.159

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Online since:

March 2012

Authors:

Shao Pu Zhang, Tao Feng

Keywords:

Conditional Entropy, Evidence Theory, Multi-Covering Information System, Reduction

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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