Obtaining an organizational model of the human body organs using approximate reasoning

Abstract

This article describes an organizational model of the human body organs using approximate reasoning. To develop it, an operation was defined in the square fuzzy relation in the product space X 1 ×X 2 ×…×X t ×Y. Then two fuzzy operations were used and various properties of reversible fuzzy relations were demonstrated. The square fuzzy operation was used on fuzzy relations, the associative property was used in the inference engine, which was decomposed in t inference engines in the product spaces X 1 ×Y… X t ×Y, corresponding to the fuzzification of the numerical variables of the antecedent and the consequent of the different organs of the human body. Then the inference engine was applied to the structure of the cardiovascular system, and the decomposition of the inference engine for t = 2 was applied to the functions of the heart and vascular system separately, and their biological age was obtained.