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 …
L Zhu, F He - Applied Mathematical Modelling, 2022 - Elsevier
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 …
S Cinaroglu - International Journal of Fuzzy Systems, 2023 - Springer
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 …
X Chen, Z Gong, G Wei - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
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 …
J Wu, Y Sheng - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
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 …