Measuring efficiency of the high-tech industry using uncertain multi-stage nonparametric technologies-Reference-Cited by-同舟云学术

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Measuring efficiency of the high-tech industry using uncertain multi-stage nonparametric technologies

Published:2023-04 Issue: Volume:216 Page:119490
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Liu Xinwang,Chen Xiaoqing^ORCID,Wu Qun^ORCID,Deveci Muhammet^ORCID,Delen Dursun^ORCID

Funder

National Natural Science Foundation of China

Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference56 articles.

1. A generalized fuzzy Multiple-Layer NDEA: An application to performance-based budgeting;Amini;Applied Soft Computing,2021

2. Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output;An;Annals of Operations Research,2015

3. Target intermediate products setting in a two-stage system with fairness concern;An;Omega,2017

4. A new approach for fair efficiency decomposition in two-stage structure system;An;Operational Research,2018

5. Assessing the relative efficiency of Chinese high-tech industries: A dynamic network data envelopment analysis approach;An;Annals of Operations Research,2020

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2. Organizational and Economic Mechanisms of Sustainable Development of Industry in the Kyrgyz Republic;Advances in Science, Technology & Innovation;2024

3. Digital technology implementation and impact of artificial intelligence based on bipolar complex fuzzy Schweizer–Sklar power aggregation operators;Applied Soft Computing;2023-08

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