We define a fuzzy multi-objective multi-period network DEA model customized to evaluate
the dynamic performance of oil refineries in the presence of undesirable outputs. In …

Sustainable supply chain management (SSCM) is one of the most significant topics. Today,
assessing sustainability and choosing the best supply chain is an important goal for …

This paper develops a multi-stage Malmquist-Luenberger index (MLPI) model by
considering the joint production of desirable and undesirable outputs in multiple production …

Data envelopment analysis (DEA) is a popular method for evaluating a set of homogeneous
decision-making units (DMUs). One of the main shortcomings of DEA is the weights flexibility …

This study applies a multistep fuzzy stochastic procedure to evaluate Turkish health system
efficiency by comparing crisp and stochastic efficiency estimates blending machine learning …

In this paper, a method based on network data envelopment analysis (DEA) is proposed to
measure the efficiency and effectiveness of decision making units (DMUs). In this regard, a …

As a generalization of intuitionistic fuzzy sets, neutrosophic sets have been developed to
represent vague, imprecise, incomplete, and inconsistent information existing in real world …

Completeness and consistency are widely acknowledged as indispensable prerequisites for
applying fuzzy preference relations in resolving real-world problems. Interactions between …

Appraising some sustainability indicators for changes of others, or comprehensively
assessing all metrics, while maintaining sustainability performance, is a crucial …

Uncertain data envelopment analysis (DEA) model make an estimate of the efficiency of
decision making unit (DMU) under data uncertainty. The current research on uncertain DEA …