Granular Computing Fuzzy Granular Structure Fuzzy Information Granule Fuzzy Information Granularity Fuzzy Distance
Issue Date:
2016
Publisher:
Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation:
Serdica Journal of Computing, Vol. 10, No 1, (2016), 013p-030p
Abstract:
In fuzzy granular computing, a fuzzy granular structure is the collection of
fuzzy 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 ability
among fuzzy information granules in a fuzzy granular structure. In recent years,
researchers have proposed some concepts of fuzzy information granularity based
on partial order relations. However, the existing forms of fuzzy information granularity
have some limitations when evaluating the fineness/coarseness between two fuzzy
granular 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.
