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The following topics are dealt with: intelligent system design; neural networks, AI and expert systems; evolutionary computation; genetic algorithms; natural language processing & machine translation; artificial life and artificial immune systems; rough and fuzzy rough set; gray system and cloud computing; cognitive radio and computer vision; pattern recognition and machine learning; fuzzy system...
The following topics are dealt with: neural networks; evolutionary computing and genetic algorithms; fuzzy systems and soft computing; particle swarm optimization; artificial life and artificial immune systems; systems biology and neurobiology; support vector machine; rough and fuzzy rough set; knowledge discovery and data mining; kernel methods; supervised & semi-supervised learning; hybrid system;...
In this paper, a dual pair of lower and upper fuzzy rough approximation operators determined by a fuzzy implication operator are defined and their properties are presented. Topological structures of fuzzy rough sets are then investigated. It is shown that the lower and upper fuzzy rough approximation operators are, respectively, an interior operator and a closure operator in a fuzzy topological space...
Rough sets theory is an important tool to deal with uncertain or vague knowledge in AI application. And it has been successfully applied into the problem on classification and decision analysis. For the application of rough sets, it is very important to design an effective algorithm. In this paper, we will show fuzzy similarity relations on attributes between two objects in the fuzzy information system...
Dominance-based rough set approach is an useful extension of the classical rough set approach and it has been successfully applied into multi-criteria decision analysis problems. This paper present an explorative research focusing on knowledge reduction of fuzzy rough set model in fuzzy decision system. The investigated fuzzy rough set model is different from the classical fuzzy rough set model because...
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