Name
Abstract | ||
|---|---|---|
This paper studies reduction of a fuzzy covering and fusion of multi-fuzzy covering systems based on the evidence theory and rough set theory. A novel pair of belief and plausibility functions is defined by employing a method of non-classical probability model and the approximation operators of a fuzzy covering. Then we study the reduction of a fuzzy covering based on the functions we presented. In the case of multiple information sources, we present a method of information fusion for multi-fuzzy covering systems, by which objects can be well classified in a fuzzy covering decision system. Finally, by using the method of maximum flow, we discuss under what conditions, fuzzy covering approximation operators can be induced by a fuzzy belief structure. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.ijar.2011.10.002 | Int. J. Approx. Reasoning |
Keywords | Field | DocType |
maximum flow,evidence theory,rough set theory,paper studies reduction,decision system,multiple information source,fuzzy covering,information fusion,approximation operator,fuzzy belief structure,reduction | Discrete mathematics,Neuro-fuzzy,Defuzzification,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Fuzzy measure theory,Fuzzy mathematics,Fuzzy number,Mathematics | Journal |
Volume | Issue | ISSN |
53 | 1 | 0888-613X |
Citations | PageRank | References |
42 | 1.04 | 42 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Feng | 1 | 282 | 33.77 |
| Shaopu Zhang | 2 | 65 | 4.36 |
| Ju-Sheng Mi | 3 | 2054 | 77.81 |