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Fuzzy rule interpolation for multidimensional input spaces with applications: A case study

Wong, K.W., Tikk, D., Gedeon, T. and Kóczy, L.T. (2005) Fuzzy rule interpolation for multidimensional input spaces with applications: A case study. IEEE Transactions on Fuzzy Systems, 13 (6). pp. 809-819.

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Fuzzy rule based systems have been very popular in many engineering applications. However, when generating fuzzy rules from the available information, this may result in a sparse fuzzy rule base. Fuzzy rule interpolation techniques have been established to solve the problems encountered in processing sparse fuzzy rule bases. In most engineering applications, the use of more than one input variable is common, however, the majority of the fuzzy rule interpolation techniques only present detailed analysis to one input variable case. This paper investigates characteristics of two selected fuzzy rule interpolation techniques for multidimensional input spaces and proposes an improved fuzzy rule interpolation technique to handle multidimensional input spaces. The three methods are compared by means of application examples in the field of petroleum engineering and mineral processing. The results show that the proposed fuzzy rule interpolation technique for multidimensional input spaces can be used in engineering applications.

Item Type: Journal Article
Murdoch Affiliation(s): School of Information Technology
Publisher: IEEE
Copyright: © 2005 IEEE.
Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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