Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)
120 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)25-51
Number of pages28
JournalFuzzy Sets and Systems
Volume337
Early online date13 Jun 2017
DOIs
Publication statusE-pub ahead of print - 13 Jun 2017

Keywords

  • 3D Face Recognition, multi-modal features, interval values, evidential reasoning under uncertainty, fuzzy fusion, TOPSIS, MCDM

Fingerprint

Dive into the research topics of 'Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition'. Together they form a unique fingerprint.

Cite this