JOURNAL ARTICLE

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

Nitesh DhimanM. K. Sharma

Year: 2019 Journal:   Applied Mathematics Vol: 10 (06)Pages: 448-467   Publisher: Scientific Research Publishing

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.

Keywords:
Fuzzy logic Artificial intelligence Imperfect Fuzzy classification Fuzzy Control Language Contradiction Fuzzy set operations Computer science Fuzzy electronics Defuzzification Extension (predicate logic) Fuzzy control system Fuzzy number Fuzzy associative matrix Mathematics Fuzzy set Linguistics

Metrics

13
Cited By
1.23
FWCI (Field Weighted Citation Impact)
16
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Artificial Intelligence in Healthcare
Health Sciences →  Health Professions →  Health Information Management
Intelligent Tutoring Systems and Adaptive Learning
Physical Sciences →  Computer Science →  Artificial Intelligence

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