The Neuro-Fuzzy hybridization scheme has become of research interest in pattern classification over the past decade. The present paper proposes a novel Modified Adaptive Fuzzy Inference Engine (MAFIE) for pattern classification. A modified Apriori algorithm technique is utilized to reduce a minimal set of decision rules based on input output data sets. A TSK type fuzzy inference system is constructed by the automatic generation of membership functions and rules by the fuzzy c-means clustering and Apriori algorithm technique, respectively. The generated adaptive fuzzy inference engine is adjusted by the least-squares fit and a conjugate gradient descent algorithm towards better performance with a minimal set of rules. The proposed MAFIE is able to reduce the number of rules which increases exponentially when more input variables are involved. The performance of the proposed MAFIE is compared with other existing applications of pattern classification schemes using Fisher-s Iris and Wisconsin breast cancer data sets and shown to be very competitive.


    Access

    Download


    Export, share and cite



    Title :

    A Novel Modified Adaptive Fuzzy Inference Engine and Its Application to Pattern Classification


    Contributors:
    J. Hossen (author) / A. Rahman (author) / K. Samsudin (author) / F. Rokhani (author) / S. Sayeed (author) / R. Hasan (author)

    Publication date :

    2011-08-25


    Remarks:

    oai:zenodo.org:1078595



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    006 / 629




    Fuzzy inference networks for pattern recognition.

    Cai, Yaling. | BASE | 1995

    Free access

    Digital Representation of Fuzzy Inference Engine

    Hernandez Z., Antonio / Camacho N., Oscar / Batyrshin, Ildar | IEEE | 2007


    Application of Adaptive Neuro-fuzzy Inference System for road accident prediction

    Hosseinpour, Mehdi / Yahaya, Ahmad Shukri / Ghadiri, Seyed Mohammadreza et al. | Online Contents | 2013


    Application of Adaptive Neuro-fuzzy Inference System for road accident prediction

    Hosseinpour, Mehdi / Yahaya, Ahmad Shukri / Ghadiri, Seyed Mohammadreza et al. | Springer Verlag | 2013


    Application of Adaptive Neuro-Fuzzy Inference System to Analysis of Travel Behavior

    Prˇibyl, Ondrˇej / Goulias, Konstadinos G. | Transportation Research Record | 2003