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An improved multidimensional alpha-cut based fuzzy interpolation technique

Wong, K.W., Gedeon, T. and Tikk, D. (2000) An improved multidimensional alpha-cut based fuzzy interpolation technique. In: International Conference on Artificial Intelligence in Science and Technology (AISAT 2000), 16-20 December 2000, Hobart, Tasmania



Fuzzy rule based systems have been very popular in many engineering applications. However, when generating fuzzy rules from the available information, it may result in a sparse fuzzy rule base. Fuzzy rule interpolation techniques have been established to solve the problems encountered by sparse rule bases. In most engineering applications, the use of more than one input variable is common. This paper proposes an improved multidimensional fuzzy rule interpolation technique to handle large dimensional input spaces. Illustration examples are also generated and results shown that this improved multidimensional α-cut based fuzzy interpolation technique can be used in engineering applications.

Item Type: Conference Paper
Murdoch Affiliation(s): School of Information Technology
Publisher: University of Tasmania
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