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ICSES Transactions on Neural and Fuzzy Computing
Vol. 3, No. 1, Mar. 2020
Single-Valued Neutrosophic SWARA-VIKOR Framework for Performance Assessment of Eco-Industrial Thermal Power Plants | Original Paper
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a Govt. College Jaitwara, SATNA, India
Dr. Arunodaya Raj Mishra
 orcid.org/0000-0001-9949-5813
 Corresponding Author
 Affiliation: Govt. College Jaitwara, SATNA, India
 Tel: +91 9893224877
 E-mail: arunodaya87@outlook.com
2nd e-mail: arunodaya_mishra87@outlook.com  Biography: Arunodaya Raj Mishra received the B. Sc. and the M. Sc. degree from APS University, Rewa, Madhya Pradesh, India in 2007 and 2009, respectively, and Ph. D in Mathematics from Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India in 2016. He has published over 25 peer-reviewed papers, many in high-quality international journals. His current research interests include multiple criteria decision analysis under uncertainty, soft computing, business intelligence and data science, cognitive computing, fuzzy set and systems, healthcare management, and image processing.
Dr. Arunodaya Raj Mishra's publications in ICSES
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This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publicationcall_made |
Retraction Note by the Editor-in-Chief
Highlights and Novelties
1- Introduce a novel integrated framework based on SWARA and VIKOR methods within SVNSs context.
2- The evaluation criteria weights are computed by SWARA method and the preference order of alternatives is decided by VIKOR method with SVNSs.
3- A case study of eco-industrial thermal power plant selection problem is presented within the context of SVNSs.
4- A comparison is discussed to analyze the validity of the obtained result.
Manuscript Abstract
The objective of paper is to introduce a novel integrated framework based on Step-wise Weight Assessment Ratio Analysis (SWARA) and Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods within single-valued neutrosophic sets (SVNSs) context, wherein the decision experts and criteria weights are fully unknown. In the proposed approach, the evaluation criteria weights are computed by SWARA method and the preference order of alternatives is decided by VIKOR method with SVNSs. Next, to show the efficiency and applicability of the proposed framework, a case study of eco-industrial thermal power plant selection problem is presented within the context of SVNSs. In addition, this study performs sensitivity analysis with various set of criteria weights to reveal the strength of the developed approach. Finally, a comparison is discussed to analyze the validity of the obtained result. The final results confirm that the developed framework is more efficient and well consistent with previously developed methods under SVNSs context.
Keywords
Eco-thermal power plant Multi-criteria decision making Single-valued neutrosophic sets SWARA VIKOR
Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
Cite this manuscript as
Arunodaya Raj Mishra, "Single-Valued Neutrosophic SWARA-VIKOR Framework for Performance Assessment of Eco-Industrial Thermal Power Plants," ICSES Transactions on Neural and Fuzzy Computing, vol. 3, no. 1, pp. 1-9, Mar. 2020.
For External Scientific Databeses
--BibTex--
@article{al._335
title="Single-Valued Neutrosophic SWARA-VIKOR Framework for Performance Assessment of Eco-Industrial Thermal Power Plants",
author="Arunodaya Raj Mishra",
journal="ICSES Transactions on Neural and Fuzzy Computing (ITNFC)",
volume="3",
number="1",
pages="1-9",
year="2020",
month="03",
day="30",
publisher= "International Computer Science and Engineering Society (ICSES)",
doi="",
url="http://www.i-cses.com/files/download.php?pID=335"}
--EndNote--
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%J ICSES Transactions on Neural and Fuzzy Computing (ITNFC)
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%D 2020
%I International Computer Science and Engineering Society (ICSES)
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%8 2020-03-30
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%@ 2717-0055
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