An extended MABAC for multi-attribute decision making using trapezoidal
  interval type-2 fuzzy numbers
  In this paper, we attempt to extend Multi Attributive Border Approximation
area Comparison (MABAC) approach for multi-attribute decision making (MADM)
problems based on type-2 fuzzy sets (IT2FSs). As a special case of IT2FSs
interval type-2 trapezoidal fuzzy numbers (IT2TrFNs) are adopted here to deal
with uncertainties present in many practical evaluation and selection problems.
A systematic description of MABAC based on IT2TrFNs is presented in the current
study. The validity and feasibility of the proposed method are illustrated by a
practical example of selecting the most suitable candidate for a software
company which is heading to hire a system analysis engineer based on few
attributes. Finally, a comparison with two other existing MADM methods is
described.
