In this study, a new parametric method is proposed to rank intuitionistic fuzzy numbers in a
general form. One of the advantages of the proposed method is that the decision maker's …

In this article, we propose a novel intuitionistic fuzzy decision making approach from the
perspective of envelopment analysis. This method helps make a decision by calculating the …

Data envelopment analysis (DEA) is a powerful tool for evaluating the efficiency of decision‐
making units for ranking and comparison purposes and to differentiate efficient and …

In this paper, we develop intuitionistic fuzzy data envelopment analysis (IFDEA) and dual
IFDEA (DIFDEA) models based on α α-and β β-cuts. We determine intuitionistic fuzzy (IF) …

Abstract DEA (Data Envelopment Analysis) is a technique for evaluating the relative
effectiveness of decision-making units (DMU) with multiple inputs and outputs data based on …

Out of several generalizations of fuzzy set theory for various objectives, the notions of
intuitionistic fuzzy sets (IFSs) is very useful in modeling real life problems. In existing fuzzy …

Data envelopment analysis (DEA) is a mathematical technique based on linear
programming applied to evaluate the efficiency of decision-making units dealing with …

Intuitionistic fuzzy set (IFS) is an extension of fuzzy set and an approach to define a fuzzy set
where available information is not sufficient to define an imprecise concept by means of a …

To the best of our knowledge very few methods have been proposed in previous studies for
comparing intuitionistic fuzzy (IF) numbers. In this paper, the limitations and the …

Data envelopment analysis (DEA) is a linear programming based methodology to determine
the relative performance efficiencies of homogeneous decision making units (DMUs). In real …