An Application of Generalized Interval-Valued Intuitionistic Fuzzy Soft Sets in a Decision Making Problem

摘要

We present a method of object recognition from an imprecise multiobserver data, which extends the work of Roy and Maji [ 11 ] to generalized interval-valued intuitionistic fuzzy soft set theory. The method involves the construction of Comparison Table from a generalized intuitionistic fuzzy soft set in a parametric sense for decision making.