Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of
a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs …

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of
a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs …

The data envelopment analysis (DEA) technique is used to identify the strengths and
weaknesses of a set of decision-maker units. In this technique for each decisionmaking unit …

Abstract RANKING FUZZY NUMBERS plays a very important role in decision making and
some other fuzzy application systems. Many different methods have been proposed to deal …

Fuzzy systems have gained more and more attention from researchers and practitioners of
various fields. In such systems, the output represented by a fuzzy set sometimes needs to be …

Purpose: In working with Interval-valued intuitionistic fuzzy sets according to considering the
membership and non-membership function simultaneously, as well as the interval of the …

The main objective of this study is to apply moderation analysis in structural equation
modeling (SEM) to compare management information system (MIS) and enterprise resource …

When we deal with crisp data, it is very common to find the correlation between variables.
Here, we propose a method to calculate the correlation coefficient for fuzzy data, but rather …

Organizations may have two strategies in DEA, DEA-R. to find suitable targets for DMUs. In
the first strategy, efficient, inefficient units are separated using the efficiency scale of …

In the present paper, the researchers discuss the problem of weighted interval
approximation of fuzzy numbers. This interval can be used as a crisp set approximation with …