
handle: 20.500.11770/337669
In the present paper we investigate (p, q)-directed complete bipartite graphs ?K p,q, n-directed paths ?Pn and n-directed cycles ?C n from the perspective of Granular Computing. For each model, we establish the general form of all possible indiscernibility relations, analyze the classical rough approximation functions of rough set theory and provide a close formula for the global accuracy average. Finally, we completely determine the attribute dependency function and the global dependency average for both ?C n and ?Kp,q.
granular computing, Digraphs, Rough Set Theory, Granular Computing, Information Tables, Approximation Measures., Applications of graph theory, Directed graphs (digraphs), tournaments, approximation measures, information tables, Reasoning under uncertainty in the context of artificial intelligence, digraphs, rough set theory
granular computing, Digraphs, Rough Set Theory, Granular Computing, Information Tables, Approximation Measures., Applications of graph theory, Directed graphs (digraphs), tournaments, approximation measures, information tables, Reasoning under uncertainty in the context of artificial intelligence, digraphs, rough set theory
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