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A MCDM-based framework for selection of photovoltaic cell technology using novel information measure under Pythagorean fuzzy environment

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Abstract

With the drastic reduction in natural resource reserves, renewable energy alternatives have emerged as a clean source of energy. Photovoltaic technology (PV) is the rapidly emerging renewable energy technology because it has the capacity to directly convert the sunlight into electricity, and it paves the way for a low-carbon world. In general, the selection of a suitable PV technology, out of five accessible PV technologies, is considered as a complex multiple-criteria decision making (MCDM) problem, which encompasses the appropriate evaluation of technologies on various criteria, and decision maker’s (DMs) judgements. In current study, firstly, we integrate the Pythagorean Fuzzy (PF) information measure with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to a modified novel MCDM-based approach. Then, using a case study of PV technology selection, the feasibility, efficacy, and practicability of the proposed approach are evaluated through information measure under Pythagorean Fuzzy Set (PFS). Furthermore, a comparative study has been provided to demonstrate the novelty and originality of our proposed approach. The developed MCDM-based approach gives sustainable choices to both technology selection as well as government policy supporters for the creation of low carbon society.

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References

  1. Guleria A, Bajaj RK (2020) A robust decision making approach for hydrogen power plant site selection utilizing (R, S)-Norm Pythagorean Fuzzy information measures based on VIKOR and TOPSIS method. Int J Hydrog Energy 45:18802–18816

    Article  Google Scholar 

  2. Kumar A, Sah B, Singh AR, Deng Y, He X, Kumar P, Bansal RC (2017) A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renew Sustain Energy Rev 69:596–609

    Article  Google Scholar 

  3. Van de Kaa G, Rezaei J, Kamp L, de Winter A (2014) Photovoltaic technology selection: a fuzzy MCDM approach. Renew Sustain Energy Rev 32:662–670

    Article  Google Scholar 

  4. Vasseur V, Kamp LM, Negro SO (2013) A comparative analysis of photovoltaic technological innovation systems including international dimensions: the cases of Japan and The Netherlands. J Clean Prod 48:200–210

    Article  Google Scholar 

  5. Song W, Xu Z, Liu H-C (2017) Develo** sustainable supplier selection criteria for solar air-conditioner manufacturer: an integrated approach. Renew Sustain Energy Rev 79:1461–1471

    Article  Google Scholar 

  6. Si J, Marjanovic-Halburd L, Nasiri F, Bell S (2016) Assessment of building-integrated green technologies: a review and case study on applications of multi-criteria decision making (MCDM) method. Sustain Cities Soc 27:106–115

    Article  Google Scholar 

  7. Wang J-J, **g Y-Y, Zhang C-F, Zhao J-H (2009) Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renew Sustain Energy Rev 13:2263–2278

    Article  Google Scholar 

  8. **ao F (2018) A novel multi-criteria decision making method for assessing health-care waste treatment technologies based on D numbers. Eng Appl Artif Intell 71:216–225

    Article  Google Scholar 

  9. Khishtandar S, Zandieh M, Dorri B (2017) A multi criteria decision making framework for sustainability assessment of bioenergy production technologies with hesitant fuzzy linguistic term sets: the case of Iran. Renew Sustain Energy Rev 77:1130–1145

    Article  Google Scholar 

  10. Troldborg M, Heslop S, Hough RL (2014) Assessing the sustainability of renewable energy technologies using multi-criteria analysis: suitability of approach for national-scale assessments and associated uncertainties. Renew Sustain Energy Rev 39:1173–1184

    Article  Google Scholar 

  11. Udhaya Sankar SM, Praveen R, Jagadish Kumar N, Jagatheswari S (2023) Fuzzy ELECTRE multi-criteria decision-making technique for achieving reliable data dissemination in MANETs. Int J Inf Technol 1–14

  12. Singh SP, Singh P (2018) An integrated AFS-based SWOT analysis approach for evaluation of strategies under MCDM environment. J Oper Strateg Plann 1:129–147

    Article  Google Scholar 

  13. Kumar R, Gandotra N (2023) Novel Pythagorean fuzzy based information measure using TOPSIS technique for application in multi-criteria decision making. In: 2023 10th international conference on computing for sustainable global development (INDIACom), IEEE, 2023, pp 1271–1276

  14. Erol Ö, Kılkış B (2012) An energy source policy assessment using analytical hierarchy process. Energy Convers Manag 63:245–252

    Article  Google Scholar 

  15. Singh SP, Singh P (2018) A hybrid decision support model using axiomatic fuzzy set theory in AHP and TOPSIS for multicriteria route selection. Complex Intell Syst 4:133–143

    Article  Google Scholar 

  16. Ahmed HM, Kamel AAEAA (2023) A university leader selection novel intelligent system based on fuzzy-AHP and PROMETTEE II. Int J Inf Technol 1–15

  17. Rastogi M, Chauhan A, Vaish R, Kishan A (2015) Selection and performance assessment of phase change materials for heating, ventilation and air-conditioning applications. Energy Convers Manag 89:260–269

    Article  Google Scholar 

  18. Dhumras H, Bajaj RK, Shukla V (2023) On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection. Int J Inf Technol 1–7

  19. Seker S, Kahraman C (2021) Socio-economic evaluation model for sustainable solar PV panels using a novel integrated MCDM methodology: a case in Turkey. Socioecon Plann Sci 77:100998

    Article  Google Scholar 

  20. Madhavi S, Udhaya Sankar SM, Praveen R, Jagadish Kumar N (2023) A fuzzy COPRAS-based decision-making framework for mitigating the impact of vampire sensor nodes in wireless sensor nodes (WSNs). Int J Inf Technol 15:1859–1870

    Google Scholar 

  21. Biswas A, Sarkar B (2019) Pythagorean fuzzy TOPSIS for multicriteria group decision-making with unknown weight information through entropy measure. Int J Intell Syst 34:1108–1128

    Article  Google Scholar 

  22. Büyüközkan G, Göçer F, Uztürk D (2021) A novel Pythagorean fuzzy set integrated Choquet integral approach for vertical farming technology assessment. Comput Ind Eng 158:107384

    Article  Google Scholar 

  23. Yager RR (2013) Pythagorean fuzzy subsets. In: 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS), IEEE, 2013, pp 57–61

  24. Malik SC, Raj M, Thakur R (2023) Weighted correlation coefficient measure for intuitionistic fuzzy set based on cosine entropy measure. Int J Inf Technol 1–13

  25. Shannon CE (1948) A mathematical theory of communication. Bell Syst Technol J 27:379–423

    Article  MathSciNet  MATH  Google Scholar 

  26. De Luca A, Termini S (1972) A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory. Inf Control 20:301–312

    Article  MathSciNet  MATH  Google Scholar 

  27. Valchos IK, Sergiadis GD (2007) Intuitionistic fuzzy information-a pattern recognition. Pattern Recognit Lett 28:197–206

    Article  Google Scholar 

  28. Song Y, Wang X, Wu W, Lei L, Quan W (2017) Uncertainty measure for Atanassov’s intuitionistic fuzzy sets. Appl Intell 46:757–774

    Article  Google Scholar 

  29. Zhang X, Xu Z (2014) Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. Int J Intell Syst 29:1061–1078

    Article  MathSciNet  Google Scholar 

  30. Ren P, Xu Z, Gou X (2016) Pythagorean fuzzy TODIM approach to multi-criteria decision making. Appl Soft Comput 42:246–259

    Article  Google Scholar 

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Correspondence to Rohit Jasrotia.

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Suman, Sonia, Jasrotia, R. et al. A MCDM-based framework for selection of photovoltaic cell technology using novel information measure under Pythagorean fuzzy environment. Int. j. inf. tecnol. 15, 4233–4242 (2023). https://doi.org/10.1007/s41870-023-01525-y

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