A Monotonicity Index for the Monotone Fuzzy Modeling Problem

Kai, M.T and Chee, P.L and Chin, Y.T and See , H.L (2012) A Monotonicity Index for the Monotone Fuzzy Modeling Problem. In: WCCI 2012 IEEE World Congress on Computational Intelligence June, 10-15, 2012 , Brisbane, Australia, pp. 456-463..

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In this paper, the problem of maintaining the (global) monotonicity and local monotonicity properties between the input(s) and the output of an FIS model is addressed. This is known as the monotone fuzzy modeling problem. In our previous work, this problem has been tackled by developing some mathematical conditions for an FIS model to observe the monotonicity property. These mathematical conditions are used as a set of governing equations for undertaking FIS modeling problems, and have been extended to some advanced FIS modeling techniques. Here, we examine an alternative to the monotone fuzzy modeling problem by introducing a monotonicity index. The monotonicity index is employed as an approximate indicator to measure the fulfillment of an FIS model to the monotonicity property. It allows the FIS model to be constructed using an optimization method, or be tuned to achieve a better performance, without knowing the exact mathematical conditions of the FIS model to satisfy the monotonicity property. Besides, the monotonicity index can be extended to FIS modeling that involves the local monotonicity problem. We also analyze the relationship between the FIS model and its monotonicity property fulfillment, as well as derived mathematical conditions, using the Monte Carlo method.

Item Type: Proceeding (Paper)
Additional Information: Universiti Malaysia Sarawak, (UNIMAS)
Uncontrolled Keywords: FIS model, FIS modelling, UNIMAS, University Malaysia Sarawak, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 20 May 2014 01:55
Last Modified: 24 Mar 2015 00:48
URI: http://ir.unimas.my/id/eprint/2729

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