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Montiel, O., Castillo, O., Melin, P. and Sepulveda, M. (2009) Mediative Fuzzy Logic for Controlling Population Size in Evolutionary Algorithms. Intelligent Information Management, 1, 108-119.
https://doi.org/10.4236/iim.2009.12016

has been cited by the following article:

• TITLE: Mediative Sugeno’s-TSK Fuzzy Logic Based Screening Analysis to Diagnosis of Heart Disease

  AUTHORS: Nitesh Dhiman, Mukesh Kumar Sharma

  KEYWORDS: Fuzzy Logic, Intuitionistic Fuzzy Logic, Mediative Fuzzy Logic, Sugeno’s Fuzzy Controller, Fuzzy Rule, Firing Level, Heart Disease

  JOURNAL NAME: Applied Mathematics, Vol.10 No.6, June 24, 2019

  ABSTRACT: Fuzzy logic is an approach which deals with the incomplete information to handle the imperfect knowledge. In the present research paper we have proposed a new approach that can handle the imperfect knowledge, in a broader way that we will consider the unfavourable case also as the intuitionistic fuzzy logic does. The mediative fuzzy logic is an extensive approach of intuitionistic fuzzy logic, which provides a solution, when there is a contradiction in the expert knowledge for favourable as well as unfavourable cases. The purpose of the present paper is to design a mediative fuzzy inference system based Sugeno-TSK model for the diagnosis of heart disease. Our proposed method is the extension of Sugeno-TSK fuzzy logic controller in the form of Sugeno-TSK mediative fuzzy logic controller.