期刊
APPLIED SOFT COMPUTING
卷 27, 期 -, 页码 602-609出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.asoc.2014.05.036
关键词
Granular computing; Information granule formation; Interval Type-2 Fuzzy Sets; Takagi-Sugeno-Kang; Cuckoo search
资金
- CONACYT [314258]
- MyDCI program of the Division of Graduate Studies and Research
- UABC
- Tijuana Institute of Technology
A technique for forming information granules is shown in this paper. Based on the theory of uncertainty-based information, an approach toward a general base is given which forms information granules. Two implementations are proposed which form Interval Type-2 Fuzzy information granules, both with Takagi-Sugeno-Kang consequents optimized with Cuckoo search algorithm. These approaches capture multiple evaluations of uncertainty from taken samples and use these models to measure the uncertainty from the difference between them. The proposed approaches are tested with classification and curve identification datasets. (C) 2014 Elsevier B.V. All rights reserved.
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