Abstract The inverse Data Envelopment Analysis (DEA) method is primarily used to analyze
the changing relationship between the inputs and outputs of production units while …

Purpose The purpose of this study is to estimate inputs (outputs) and flexible measures
when outputs (inputs) are changed provided that the relative efficiency values remain …

Abstract Inverse Data Envelopment Analysis (IDEA) has gained significant attention among
researchers as an analytical tool for assessing efficiency. Estimating input values while …

The selection of input and output items is crucial for successful application of Data
Envelopment Analysis (DEA) as they should express the decision maker's preferences and …

Strategic alliances and partnerships based on mergers and acquisitions can be used to
improve the performance of decision-making units (DMUs). In this paper, we present …

Purpose Assessing inputs and outputs is a significant aspect of taking decisions while there
are complex and multistage processes in many examinations. Due to the presence of …

In this paper, we develop different types of strategic alliance and business cooperation
between different decision-making units (DMUs) based on ratio-based data envelopment …

Sensitivity analysis in optimization problems is important for managers and decision maker
to introduce different strategies. Data Envelopment Analysis (DEA) is a method based on …

Resource planning is a significant aspect in organizations with particularly complex
structures and uncertain data. Accordingly, an inverse stochastic network data envelopment …

Data envelopment analysis (DEA) is a mathematical programming model to evaluate the
relative efficiency of a set of homogeneous decision-making units considered to be 71 …