Fuzzy interval-valued multi criteria based decision making for ranking features in multi-modal 3D face recognition

(چکیده مقاله) :
Abstract :

This paper describes an application of multi-criteria decision making (MCDM) for multi-modal fusion of features in a 3D face recognition system. A decision making process is outlined that is based on the performance of multi-modal features in a face recognition task involving a set of 3D face databases. In particular, the fuzzy interval valued MCDM technique called TOPSIS is applied for ranking and deciding on the best choice of multi-modal features at the decision stage. It provides a formal mechanism of benchmarking their performances against a set of criteria. The technique demonstrates its ability in scaling up the multi-modal features.

(توضیحات تکمیلی) :

(توضیحات تکمیلی) :
Description :

مقاله ISI انگلیسی اصلی
سال انتشار:2018
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 27 صفحه


Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار2018 \ Soodamani Ramalingam
Sent date(تاریخ ارسال) : 1397/10/23  |   1/13/2019
Number of visits(تعداد بازدید): 755
Key words (کلمات کلیدی): 3D face recognition; Multi-modal features; Interval values; Evidential reasoning under uncertainty; Fuzzy fusion; TOPSIS; MCDM
Number of pages(تعداد صفحات) : 27
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