Open AccessDiabetes Diagnostic Model Based on Truth-value Restrictions Method Using Inference of Intuitionistic Conditional and Qualified Fuzzy Propositions
Author(s) -
Manoj Sharma,
Nitesh Dhiman
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b2923.129219
Subject(s) - truth value , proposition , extension (predicate logic) , fuzzy inference system , inference , fuzzy logic , domain (mathematical analysis) , scheme (mathematics) , base (topology) , computer science , computation , value proposition , value (mathematics) , mathematics , fuzzy inference , algorithm , artificial intelligence , machine learning , fuzzy control system , adaptive neuro fuzzy inference system , epistemology , mathematical analysis , philosophy , marketing , business , programming language
Diabetes is a challenging problem nowadays. Not only in India, but it also spreads over worldwide, In the present research paper a novel scheme based on intuitionistic fuzzy propositions to explore the knowledge base rule system with uncertainty has been developed and for the extension of fuzzy propositions to the domain of factors causing diabetes. In this paper, we have constructed the conditional and qualified intuitionistic fuzzy proposition mathematically for the diabetes diagnostic model. We have also developed an algorithm for Truth-value restriction method using the conditional and qualified intuitionistic fuzzy proposition;with the help of developed algorithm for truth-value restriction method we will give a scheme to check this severity of the diabetes. Numerical computations have also been carried out to demonstrate our approach.