ATM based on SPMF

Authors:
Dae-Young Choi
Affiliations:
Dept.of MIS, Yuhan College, Puchon, Kyoungki-Do, Korea
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

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Abstract

We propose an approximate transformation method (ATM) based on the standardized parametric membership functions (SPMF). The ATM provides fuzzy systems with the platform for the relatively fast computations by transforming the non-parametric membership functions (NPMF) into the parametric membership functions (PMF). In this paper, we apply the ATM to linguistic approximation.