Soodamani, R & Vimal, V (2016), Vehicle Detection for Traffic Flow Analysis, ICCST2016, Paper presented at the IEEE International Carnahan Conference on Security Technology, 24-27 October 2016, Orlando, Florida. This is the Accepted Manuscript version. The Version of Record is available online at IEEE Explore, doi: https://doi.org/10.1109/CCST.2016.7815709. ; This paper proposes a fuzzy interval valued multicriteria decision making (MCDM) technique that aggregates information from multi-modal feature sets during decision making in a 3D face recognition system. In this paper, an interval valued fuzzy TOPSIS technique is applied to a 3D face recognition system that is benchmarked against a set of databases. Such a system is shown to be useful in decision making when the choice of alternatives of the feature sets is combinatorial and complex. ; Final Accepted Version


    Access

    Download


    Export, share and cite



    Title :

    A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition



    Publication date :

    2017-01-16


    Type of media :

    Miscellaneous


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    MORE ON INTERVAL-VALUED INTUITIONISTIC FUZZY SOFT MULTI SETS

    Anjan Mukherjee / Ajoy Kanti Das / Abhijit Saha | BASE | 2015

    Free access

    An approach to information fusion using interval-valued probability

    McClure, J.W. / Adams, M.B. | Tema Archive | 1986


    Data fusion using fuzzy-valued logic

    Palacharla, P. / Nelson, P.C. / Sisiopiku, V.P. | IEEE | 1994