Optimization of Membership Function of Fuzzy Rules Generated using Subtractive Clustering - Inpressco
News Updates Sunday 19th Aug 2018 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of July/Aug 2018 extended to 20 Aug 2018, Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Optimization of Membership Function of Fuzzy Rules Generated using Subtractive Clustering


Author : Hussein A. Lafta and Zahraa A. Mohammed

Pages : 821-824
Download PDF
Abstract

Fuzzy rules regarded as a good way to represent the knowledge in many type of problems. It shorten the facts found in the problem at hand in form of IF…THEN, and the membership function regarded as basic part in the structure of these rules. The work is divided into three parts: first one is dealing with clustering process to extract the centers values; the estimation of the centers from multidimensional data set is done by using subtractive clustering algorithm. These centers are converting to fuzzy rules in the rule base, after applying a Gradient Descent method fortuning the membership function parameters. The tuning and applying Fuzzy Inference System are the second and third stage of this work. The scope of the work is heart disease diagnose.

Keywords: Fuzzy Rules, Subtractive Algorithm, Sugeno Inference System, Gradient Descent Method.

Article published in International Journal of Current Engineering and Technology, Vol.6, No.3 (June-2016)

 

Call for Papers
  1. IJCET- July/Aug 2018 Issue

    Submission Last Date
    20 Aug
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-Sept-2018
  5. IJAIE-Sept-2018
  6. IJCSB-Sept-2018
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved