Rough-Granular Computing |
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| Authors: | Andrzej Skowron |
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| Affiliation: | Institute of Mathematics,Warsaw University,Banacha 2, 02-097 Warsaw, Poland |
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| Abstract: | Solving complex problems by multi-agent systems in distributed environments requires new approximate reasoning methods based on new computing paradigms. One such recently emerging computing paradigm is Granular Computing(GC). We discuss the Rough-Granular Computing(RGC) approach to modeling of computations in complex adaptive systems and multiagent systems as well as for approximate reasoning about the behavior of such systems. The RGC methods have been successfully applied for solving complex problems in areas such as identification of objects or behavioral patterns by autonomous systems, web mining, and sensor fusion. |
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| Keywords: | information granulation information granules rough sets granular computing adaptive concept approximation rough-granular computing |
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