Fuzzy expert system framework constructs large scale knowledge based system effectively for diabetes. Fuzzy Expert System helps the medical practitioners to solve decision problem. The components of correlation fuzzy determination mechanism are determination logic and knowledge base. The fuzzification interface converts the crisp values into fuzzy values for the diagnosis of diabetes. The determination logic evaluates the effect on the number of membership functions, the shape of membership functions and the effect of fuzzy operators. Correlation fuzzy logic is computed for fuzzy numbers and membership function. Knowledge base is constructed by fuzzy if-then rules. Defuzzification interface converts the resulting fuzzy set into crisp values. The result of the proposed method is compared with earlier method using accuracy as metrics. The proposed fuzzy expert system can work more effectively for diabetes application and also improves the accuracy of fuzzy expert system.Keywords: Fuzzy Expert System, Correlation Fuzzy Determination Mechanism, determination logic, knowledge base, Diabetes application.


    Access

    Download


    Export, share and cite



    Title :

    Diagnosis of Diabetes using Correlation fuzzy logic in Fuzzy Expert System


    Contributors:

    Publication date :

    2017-01-13


    Remarks:

    doi:10.26483/ijarcs.v3i1.998
    International Journal of Advanced Research in Computer Science; Vol 3, No 1 (2012): January-February 2012; 244-250 ; 0976-5697 ; 10.26483/ijarcs.v3i1



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    006 / 629



    Expert-Driving-Criteria Based on Fuzzy Logic Approach for Intelligent Driving Diagnosis

    Andrés C. Cuervo Pinilla / Christian G. Quintero M. / Chinthaka Premachandra | BASE | 2016

    Free access

    A Rule Based Neuro-Fuzzy Expert System Model for Diagnosis of Diabetes

    Sreedevi, E. / Padmavathamma, Prof.M. | BASE | 2017

    Free access

    Expert-Driving-Criteria Based on Fuzzy Logic Approach for Intelligent Driving Diagnosis

    Andrés C. Cuervo Pinilla / Christian G. Quintero M. / Chinthaka Premachandra | BASE | 2014

    Free access

    Fuzzy logic applications to expert systems and control

    Lea, Robert N. / Jani, Yashvant | NTRS | 1991