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Fuzzy Inference System Through Triangular and Hendecagonal Fuzzy Number

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Applied Mathematics and Scientific Computing

Part of the book series: Trends in Mathematics ((TM))

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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).

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Correspondence to A. Felix .

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Felix, A., Dhivya, A.D., Antony Alphonnse Ligori, T. (2019). Fuzzy Inference System Through Triangular and Hendecagonal Fuzzy Number. In: Rushi Kumar, B., Sivaraj, R., Prasad, B., Nalliah, M., Reddy, A. (eds) Applied Mathematics and Scientific Computing. Trends in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-01123-9_53

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