An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem

Pratibha Rani, Jabir Ali, Raghunathan Krishankumar, Arunodaya Raj Mishra, Fausto Cavallaro and Kattur S. Ravichandran
Additional contact information
Pratibha Rani: Department of Mathematics, National Institute of Technology, Warangal 506004, Telangana, India
Jabir Ali: Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, NCR Campus, Ghaziabad 201204, Uttar Pradesh, India
Raghunathan Krishankumar: Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore 641112, Tamil Nadu, India
Arunodaya Raj Mishra: Department of Mathematics, Government College Jaitwara, Jaitwara 485221, Madhya Pradesh, India
Fausto Cavallaro: Department of Economics, University of Molise, 86100 Campobasso, Italy
Kattur S. Ravichandran: Rajiv Gandhi National Institute of Youth Development, Sriperumbudur 602105, Tamil Nadu, India

Energies, 2021, vol. 14, issue 15, 1-23

Abstract: Optimal renewable energy source (RES) selection needs a strategic decision for reducing environmental pollutions, use of conventional resources, and improving economic development. In the process of RESs evaluation, several aspects like environmental, economic, social, and technical requirements play an important role. In addition, diverse factors affect the appropriate RES selection problem which adheres to uncertain and imprecise data. Thus, this selection process can be considered as a complex uncertain multi-criteria decision making (MCDM) problem. This study aims to introduce a novel integrated methodology based on Step-wise Weight Assessment Ratio Analysis (SWARA) and Combined Compromise Solution (CoCoSo) methods within single-valued neutrosophic sets (SVNSs) context, wherein the decision-makers and criteria weights are completely unknown. In the proposed approach, the criteria weights are determined by the SWARA method, and the most suitable RES alternative is determined by an improved CoCoSo method under the SVN context. Further, an illustrative case study of RES selection is considered to demonstrate the thorough execution process of the proposed method. Moreover, a comparison with existing methods is discussed to analyze the validity of the obtained result. This study performs sensitivity analysis with a various set of criteria weights to reveal the robustness of the developed approach. The strength of the proposed method is its practical applicability and ability to provide solutions under uncertain, imperfect, indeterminate, and inconsistent information.

Keywords: single-valued neutrosophic set; MCDM; SWARA; CoCoSo; renewable energy source selection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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