Simplified Method for Compiling Rule Base Matrix
T. D. Dongale1, T .G. Kulkarni2, P. A. Kadam3, R. R. Mudholkar4
1T.D.Dongale, Department of Electronics, Shivaji University, Kolhapur, Maharashtra, India.
2T.G.Kulkarni, Department of Electronics, Shivaji University, Kolhapur, Maharashtra, India.
3Dr. P.A.Kadam, Department of Electronics, Shivaji University, Kolhapur, Maharashtra, India.
4Dr. R.R.Mudholkar, Department of Electronics, Shivaji University, Kolhapur, Maharashtra, India.
Manuscript received on February 04, 2012. | Revised Manuscript received on February 12, 2012. | Manuscript published on March 05, 2012. | PP: 39-43 | Volume-2 Issue-1, March 2012. | Retrieval Number: A0371012111/2012©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main paradigm shift of fuzzy control lies in the implementation of control strategies in the form of knowledge based algorithm described by fuzzy logic. The fuzzy logic system designer either explores his own knowledge or elicits from domain expert. The knowledge pertaining to control strategy is expressed in the form of IF-THEN fuzzy rules. In Fuzzy Logic Control (FLC), the rules are expressed in the form of matrix table. Filling up consequent premises in the rule table is a tedious job. We present here simple numeric method to compile consequent part of fuzzy rules. This greatly reduces an over burden on system designer. The method reported in this paper is quite handy for those were not expert in writing fuzzy rules for FLC of interest. The paper demonstrates the numerical approach to frame the rule base. It involves simple arithmetic addition and subtraction operation. In case of highly non-linear system the straight forward approach fails. In such cases, we suggest corrective terms to the rule base. The comparison of rule base designed by direct human logic with that of numerical approach practiced in case studies validates the success of the numeric approach for compiling rule base matrix presented in paper.
Keywords: Decision Matrix, Fuzzy Logic, Fuzzy logic control, Fuzzy Reasoning, IF-THEN Rules.