Reduction Algorithms for Multi-Covering Information System
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-c...
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| Veröffentlicht in: | Applied Mechanics and Materials 2012-03, Vol.160, p.159-164 |
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| container_title | Applied Mechanics and Materials |
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| creator | Feng, Tao Zhang, Shao Pu |
| description | 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. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.160.159 |
| format | Article |
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| title | Reduction Algorithms for Multi-Covering Information System |
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