Evaluation and Prioritization of Sustainable Enterprise Resource Planning in SMEs Using q-Rung Orthopair Fuzzy Rough Set-Based Decision Support Model-Reference-Cited by-同舟云学术

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Evaluation and Prioritization of Sustainable Enterprise Resource Planning in SMEs Using q-Rung Orthopair Fuzzy Rough Set-Based Decision Support Model

Published:2024-05 Issue:5 Volume:32 Page:3260-3273
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Mishra Arunodaya Raj¹^ORCID,Rani Pratibha²^ORCID,Pamucar Dragan³^ORCID,Simic Vladimir⁴^ORCID

Affiliation:

1. Department of Mathematics, Government College Raigaon, Satna, India

2. Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India

3. Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia

4. University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10517720/10477585.pdf?arnumber=10477585

Reference57 articles.

1. Managing enterprise resource planning projects

2. Information system capabilities and firm performance: Opening the black box through decision-making performance and business-process performance

3. Multicriteria Decision Making for Evaluating and Selecting Information Systems Projects: A Sustainability Perspective

4. Selection of enterprise resource planning software using analytic hierarchy process

5. The perceived success of ERP systems for decision support

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Organizational knowledge sharing partner selection based on Fogg Behavioral Model in probabilistic hesitant fuzzy environment;Expert Systems with Applications;2024-09

2. Software Reliability Growth Model Selection by Using VIKOR Method Based on q-Rung Orthopair Fuzzy Entropy and Divergence Measures;IEEE Access;2024

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