Abstract
In this paper, we present a new fuzzy interpolative reasoning method using interval type-2 fuzzy sets. We calculate the ranking values through the reference points and the heights of the upper and the lower membership functions of interval type-2 fuzzy sets. By means of calculating the ranking values of the upper and the lower membership functions of interval type-2 fuzzy sets, we can use interval type-2 fuzzy sets to handle fuzzy interpolative reasoning in sparse fuzzy rule-based system in a more flexible manner. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Lee, L. W., & Chen, S. M. (2008). Fuzzy interpolative reasoning using interval type-2 fuzzy sets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5027 LNAI, pp. 92–101). https://doi.org/10.1007/978-3-540-69052-8_10
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