1. Generating fuzzy rules from numerical data
Authors : Sanjay Charaya
Pages : 13-19
DOI : http://dx.doi.org/10.21172/1.182.04
Keywords : Key words: Fuzzy Rule Based System (FRBS), Fuzzy rules, Rule Base (RB), fuzzy regions, Fuzzy Logic Controller. Abstract :Abstract- In this paper a fuzzy rule based system from the numerical data pairs is presented for an air conditioning system by utilizing the Wang and Mendel [6] technique. Firstly, the input and output variables of the given numerical data is divided into fuzzy regions. Then fuzzy rules are generated from this data. Degree of each of the generated rule is calculated and the rule with highest degree among the conflicting rules is accepted. In this way a combined rule base system is developed from the generated rules. Then ‘centroid defuzzification formulae’ is used to determine the output. The core work of this paper is to generate fuzzy rules from the numerical data for an air conditioning system, collect these fuzzy rules and the linguistic fuzzy rules into a common fuzzy rule base, and, finally design a control system based on this combined fuzzy rule base.
Citing this Journal Article :Sanjay Charaya, "Generating fuzzy rules from numerical data", Volume 18 Issue 2 - December 2020, 13-19
Click here to Submit Copyright Takedown Notice for this article.