Next Article in Journal
Green Product Design Based on the BioTRIZ Multi-Contradiction Resolution Method
Previous Article in Journal
Adaptation, Official Development Assistance, and Institution Building: The Case of the Caribbean Community Climate Change Centre
Previous Article in Special Issue
Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China
Open AccessArticle

Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection

1
Department of Mathematics, National Institute of Technology, Warangal (Telangana) 506004, India
2
Department of Mathematics, Government College, Jaitwara (M.P.) 485221, India
3
Informetrics Research Group, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam
4
Faculty of Business Administration, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam
5
Department of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, Italy
6
Lithuanian Institute of Agrarian Economics, A. Vivulskio g. 4A-13, 03220 Vilnius, Lithuania
7
School of Economics and Management, Tsinghua University, Beijing 100084, China
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(10), 4278; https://doi.org/10.3390/su12104278
Received: 24 April 2020 / Revised: 19 May 2020 / Accepted: 19 May 2020 / Published: 22 May 2020
The age of industrialization and modernization has increased energy demands globally. Solar energy has been recognized as an inexhaustible source of energy and has been applied for desalination and electricity generation. Among different non-conventional energy resources, Solar Energy (SE) is one of the main contributors to the global energy system. A photovoltaic system (PS) is applied to produce SE using photovoltaic cells. The selection of a solar panel includes many intricate factors involving both subjective and quantifiable parameters; therefore, it can be regarded as a complex Multi-Criteria Decision-Making (MCDM) problem. As the uncertainty commonly occurs in the selection of an ideal solar panel, the theory of Pythagorean fuzzy sets has been proven as one of the flexible and superior tools to deal with the uncertainty and ambiguity that arise in real-life applications. The aim of the study is to present an MCDM framework for solving the Solar Panel Selection (SPS) problem within the Pythagorean fuzzy (PF) environment. For this, first, a new integrated method is proposed based on the Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) approaches in the Pythagorean fuzzy sets (PFSs) context. In the proposed approach, subjective weights of the evaluation criteria are calculated by the SWARA method, and the preference order of alternatives is decided by the VIKOR method in the PF context. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. The computational procedure of the proposed methodology is established through a case study of the SPS problem under PF environment, which proves the applicability and efficiency of the proposed method. Furthermore, this study performs sensitivity analysis to reveal the stability of the developed framework. This analysis signifies that the solar panel option R4 constantly secures its highest ranking despite how the parameter values vary. In addition, a comparative study is discussed to analyze the validity of the obtained result. The results show that the proposed approach is more efficient and applicable with previously developed methods in the PFS environment. View Full-Text
Keywords: Pythagorean fuzzy sets; solar panel; Multi-Criteria Decision Making; SWARA; VIKOR Pythagorean fuzzy sets; solar panel; Multi-Criteria Decision Making; SWARA; VIKOR
Show Figures

Figure 1

MDPI and ACS Style

Rani, P.; Mishra, A.R.; Mardani, A.; Cavallaro, F.; Štreimikienė, D.; Khan, S.A.R. Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection. Sustainability 2020, 12, 4278.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop