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Fuzzy Inference System Through Triangular and Hendecagonal Fuzzy Number
, Dhivya A.D, Antony Alphonnse Ligori T.
Published in Springer International Publishing
2019
Pages: 537 - 546
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). © Springer Nature Switzerland AG 2019.
About the journal
JournalData powered by TypesetTrends in Mathematics Applied Mathematics and Scientific Computing
PublisherData powered by TypesetSpringer International Publishing
ISSN2297-0215
Open AccessNo