A Linguistic Case-based Fuzzy Reasoning based on SPMF


The KIPS Transactions:PartB , Vol. 17, No. 2, pp. 163-168, Apr. 2010
10.3745/KIPSTB.2010.17.2.163,   PDF Download:

Abstract

A linguistic case-based fuzzy reasoning (LCBFR) based on standardized parametric membership functions (SPMF) is proposed. It provides an efficient mechanism for a fuzzy reasoning within linear time complexity. Thus, it can be used to improve the speed of fuzzy reasoning. In the process of LCBFR, linguistic case indexing and retrieval based on SPMF is suggested. It can be processed relatively fast compared to the previous linguistic approximation methods. From the engineering viewpoint, it may be a valuable advantage.


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Cite this article
[IEEE Style]
D. Y. Choi, "A Linguistic Case-based Fuzzy Reasoning based on SPMF," The KIPS Transactions:PartB , vol. 17, no. 2, pp. 163-168, 2010. DOI: 10.3745/KIPSTB.2010.17.2.163.

[ACM Style]
Dae Young Choi. 2010. A Linguistic Case-based Fuzzy Reasoning based on SPMF. The KIPS Transactions:PartB , 17, 2, (2010), 163-168. DOI: 10.3745/KIPSTB.2010.17.2.163.