In university technology transfer performance assessment, some variables, such as labor
and contracts, must be treated as integer-valued variables. Usually, the reference points …

The transport industry is one of the main contributors to environmental pollution. Sustainable
supply chain management (SSCM) is an essential subject in the transportation industry …

In conventional data envelopment analysis (DEA) models, data are usually considered as
continuous measures while the role of measures from input and/or output aspects is known …

The present paper studies the efficiency assessment of Decision-Making Units (DMUs)
when their inputs and outputs are described under uncertainty of the type of integer interval …

Abstract Conventional Inverse Data Envelopment Analysis (Inverse DEA) models examine
the changes of real-valued inputs (respectively, outputs) of DMUs for the perturbation of real …

In conventional DEA models, it is supposed real-valued inputs and outputs while every
measure must be determined as an input or output. However, in some cases, there are …

Conventional data envelopment analysis (DEA) may generate the non-integer targets for
integer-valued inputs and outputs of decision-making units (DMUs). To derive the …

In many real world applications, the performance of entities with undesirable outputs should
be assessed while imprecise and vague information is presented. In this study, a fully fuzzy …

Data envelopment analysis (DEA) is a measurement method for estimating the relative
efficiency of decision-making units (DMUs) that can calculate economic (ie, cost and …

Purpose Data envelopment analysis (DEA) is a significant method for measuring the relative
efficiency of decision making units (DMUs) that use the least inputs, produce the most …