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In fuzzy granular computing, a fuzzy granular structure is the collection offuzzy information granules and fuzzy information granularity is used to measure the granulation degree of a fuzzy granular structure.In general, the fuzzy information granularity characterizes discernibility abilityamong fuzzy information granules in a fuzzy granular structure. In recent years,researchers have proposed some concepts of fuzzy information granularity basedon partial order relations. However, the existing forms of fuzzy information granularityhave some limitations when evaluating the fineness/coarseness between two fuzzygranular structures. In this paper, we propose an extension of fuzzy information granularity based on a fuzzy distance measure. We prove theoretically and experimentally that the proposed fuzzy information granularity is the best one to distinguish fuzzy granular structures.ACM Computing Classification System (1998): I.5.2, I.2.6. |
