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Fuzzy Inference System Through Triangular and Hendecagonal Fuzzy Number

  • A. FelixEmail author
  • A. D. Dhivya
  • T. Antony Alphonnse Ligori
Conference paper
Part of the Trends in Mathematics book series (TM)

Abstract

A fuzzy inference system works on the basis of fuzzy if-then rules to mimic human intelligence for quantifying the vagueness/uncertainty, which arises in many real-world problems. In this paper, fuzzy inference system is designed using triangular and hendecagonal fuzzy number that represent the value for the linguistic environment. The factors of T2DM mellitus play a critical role in affecting each and every individual health without their knowledge. In this paper, the factor of “Blood Glucose”, medical term known as hyperglycemia, is analyzed through this fuzzy inference system (FIS).

Keywords

Triangular Fuzzy Number Hendecagonal Fuzzy number Linguistic Variables Inference system 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • A. Felix
    • 1
    Email author
  • A. D. Dhivya
    • 2
  • T. Antony Alphonnse Ligori
    • 3
  1. 1.Department of Mathematics, SASVITChennaiIndia
  2. 2.Department of MathematicsLoyola CollegeChennaiIndia
  3. 3.Department of MathematicsGaeddu College of Business StudiesGeduBhutan

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