Comprehensive intuitionistic fuzzy network data envelopment analysis incorporating undesirable outputs and shared resources.

ABSTRACT: The economic growth rate is intricately linked to the efficiency and effectiveness of the banking industry. A widely applicable mathematical technique for such assessments is Data Envelopment Analysis (DEA), which evaluates the relative efficiency of Decision-Making Units (DMUs) by comparing their inputs and outputs. Traditional DEA treats DMUs as black boxes, neglecting internal processes that contribute to inefficiencies in individual DMUs. Additionally, it assumes precise values for inputs and outputs that do not apply to real-world problems. This study introduces a comprehensive network series of two-stage DEA, incorporating shared inputs and intermediate measures, undesirable outputs, external inputs and outputs, initial inputs, and terminal outputs. The network two-stage DEA is exten

SUBMITTER: Sahil MA 

PROVIDER: S-EPMC11041839 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature