Abstract | ||
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In this paper, considering the fuzziness and roughness coexist in production practice, we put forward a kind of programming problem that objective function is fuzzy function, constraint conditions are rough sets. Using the restriction and complementary relationship of the principle and secondary indexes, and coupled with the compound quantification description for fuzzy number, we analyze the essential characteristic of fuzzy decision and use the fuzzy information of composite quantitative strategy, give a fuzzy rough programming model based on the comprehensive effect. Finally we give a concrete solution scheme. © 2011 IEEE. |
Year | DOI | Venue |
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2011 | 10.1109/ICMLC.2011.6016719 | ICMLC |
Keywords | Field | DocType |
auxiliary indexes,fuzzy functions,fuzzy rough programming problem,main index,rough set,the optimal solution,objective function,indexes,programming,optimization,rough set theory,cybernetics,machine learning,programming model,indexation,fuzzy number,fuzzy set theory,rough sets | Mathematical optimization,Neuro-fuzzy,Fuzzy classification,Defuzzification,Computer science,Fuzzy set operations,Fuzzy mathematics,Artificial intelligence,Fuzzy number,Type-2 fuzzy sets and systems,Membership function,Machine learning | Conference |
Volume | Issue | ISSN |
1 | null | 21601348 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fachao Li | 1 | 157 | 22.30 |
Yuan-Jian Lin | 2 | 0 | 0.34 |