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Evaluating ESG corporate performance using a new neutrosophic AHP-TOPSIS based approach

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Evaluating ESG corporate performance using a new neutrosophic AHP-TOPSIS based approach

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Reig-Mullor, J.; Garcia-Bernabeu, A.; Pla Santamaría, D.; Vercher-Ferrandiz, M. (2022). Evaluating ESG corporate performance using a new neutrosophic AHP-TOPSIS based approach. Technological and Economic Development of Economy (Online). 28(5):1242-1266. https://doi.org/10.3846/tede.2022.17004

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Título: Evaluating ESG corporate performance using a new neutrosophic AHP-TOPSIS based approach
Autor: Reig-Mullor, Javier Garcia-Bernabeu, Ana Pla Santamaría, David Vercher-Ferrandiz, Marisa
Entidad UPV: Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Fecha difusión:
Resumen:
[EN] Corporate sustainability reports' credibility of environmental, social, and governance (ESG) information has received a significant focus of attention in the businesses landscape. Over the last years, various methodologies ...[+]
Palabras clave: Fuzzy sets , Triangular neutrosophic numbers , Possibility measures , Sustainability re-porting , Greenwashing, ESG
Derechos de uso: Reconocimiento (by)
Fuente:
Technological and Economic Development of Economy (Online). (eissn: 2029-4921 )
DOI: 10.3846/tede.2022.17004
Editorial:
Vilnius Gediminas Technical University
Versión del editor: https://doi.org/10.3846/tede.2022.17004
Coste APC: 1361,25 €
Tipo: Artículo

References

Abdel-Basset, M., Mohamed, M., & Smarandache, F. (2018). An extension of neutrosophic AHP-SWOT analysis for strategic planning and decision-making. Symmetry, 10(4). https://doi.org/10.3390/sym10040116

Abdel-Basset, M., Mohamed, M., Zhou, Y., & Hezam, I. (2017). Multi-criteria group decision making based on neutrosophic analytic hierarchy process. Journal of Intelligent and Fuzzy Systems, 33(6), 4055-4066. https://doi.org/10.3233/JIFS-17981

Ahmad, F. (2021). Interactive neutrosophic optimization technique for multiobjective programming problems: An application to pharmaceutical supply chain management. Annals of Operations Research. https://doi.org/10.1007/s10479-021-03997-2 [+]
Abdel-Basset, M., Mohamed, M., & Smarandache, F. (2018). An extension of neutrosophic AHP-SWOT analysis for strategic planning and decision-making. Symmetry, 10(4). https://doi.org/10.3390/sym10040116

Abdel-Basset, M., Mohamed, M., Zhou, Y., & Hezam, I. (2017). Multi-criteria group decision making based on neutrosophic analytic hierarchy process. Journal of Intelligent and Fuzzy Systems, 33(6), 4055-4066. https://doi.org/10.3233/JIFS-17981

Ahmad, F. (2021). Interactive neutrosophic optimization technique for multiobjective programming problems: An application to pharmaceutical supply chain management. Annals of Operations Research. https://doi.org/10.1007/s10479-021-03997-2

Amiri, M., Hashemi-Tabatabaei, M., Ghahremanloo, M., Keshavarz-Ghorabaee, M., Zavadskas, E., & Kaklauskas, A. (2021). Evaluating life cycle of buildings using an integrated approach based on quantitative-qualitative and simplified best-worst methods (QQM-SBWM). Sustainability, 13, 4487. https://doi.org/10.3390/su13084487

Atanassov, K., & Gargov, G. (1989). Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31(3), 343-349. https://doi.org/10.1016/0165-0114(89)90205-4

Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Set and Systems, 20, 87-96. https://doi.org/10.1016/S0165-0114(86)80034-3

Brans, J. P., Mareschal, B., & Vincke, P. (1984). Prométhée: a new family of outranking methods in multicriteria analysis. In J. P. Brans (Ed.), Operational research'24 (pp. 477-490). North-Holland.

Broumi, S., Nagarajan, D., Bakali, A., Talea, M., Smarandache, F., & Lathamaheswari, M. (2019). The shortest path problem in interval valued trapezoidal and triangular neutrosophic environment. Complex & Intelligent Systems, 5(4), 391-402. https://doi.org/10.1007/s40747-019-0092-5

Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247. https://doi.org/10.1016/0165-0114(85)90090-9

Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655. https://doi.org/10.1016/0377-2217(95)00300-2

11. Chowdhury, P., & Paul, S. K. (2020). Applications of MCDM methods in research on corporate sustainability. Management of Environmental Quality: An International Journal, 31(2), 385-405. https://doi.org/10.1108/MEQ-12-2019-0284

12. Dahl, R. (2010). Greenwashing: Do you know what you're buying? Environmental Health Perspectives, 118(6), A246-A252. https://doi.org/10.1289/ehp.118-a246

Dahlsrud, A. (2008). How corporate social responsibility is defined: An analysis of 37 definitions. Corporate Social Responsibility and Environmental Management, 15(1), 1-13. https://doi.org/10.1002/csr.132

Das, S., Roy, B. K., Kar, M. B., Kar, S., & Pamučar, D. (2020). Neutrosophic fuzzy set and its application in decision making. Journal of Ambient Intelligence and Humanized Computing, 11(11), 5017-5029. https://doi.org/10.1007/s12652-020-01808-3

De Bakker, P. I. W., Yelensky, R., Pe'Er, I., Gabriel, S. B., Daly, M. J., & Altshuler, D. (2005). Efficiency and power in genetic association studies. Nature Genetics, 37(11), 1217-1223. https://doi.org/10.1038/ng1669

Deli, I., & Subas, Y. (2014). Single valued neutrosophic numbers and their applications to multicriteria decision making problem. Neutrosophic Set Systems, 2(1), 1-13.

Deli, I., & Şubaş, Y. (2017). A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems. International Journal of Machine Learning and Cybernetics, 8. https://doi.org/10.1007/s13042-016-0505-3

Deng, H. (1999). Multicriteria analysis with fuzzy pairwise comparison. 1999 IEEE International Fuzzy Systems Conference Proceedings. FUZZ-IEEE '99. IEEE. https://doi.org/10.1109/FUZZY.1999.793038

Deveci, M., Erdogan, N., Cali, U., Stekli, J., & Zhong, S. (2021). Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA. Engineering Applications of Artificial Intelligence, 103(February), 104311. https://doi.org/10.1016/j.engappai.2021.104311

Escrig-Olmedo, E., Rivera-Lirio, J. M., Muñoz-Torres, M. J., & Fernández-Izquierdo, M. Á. (2017). Integrating multiple ESG investors' preferences into sustainable investment: A fuzzy multicriteria methodological approach. Journal of Cleaner Production, 162, 1334-1345. https://doi.org/10.1016/j.jclepro.2017.06.143

Garg, H., & Nancy. (2020). Multiple attribute decision making based on immediate probabilities aggregation operators for single-valued and interval neutrosophic sets. Journal of Applied Mathematics and Computing, 63(1-2), 619-653. https://doi.org/10.1007/s12190-020-01332-9

Ghorabaee, M. K., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica, 26(3), 435-451. https://doi.org/10.15388/Informatica.2015.57

Giri, B. C., Molla, M. U., & Biswas, P. (2020). TOPSIS Method for Neutrosophic Hesitant Fuzzy Multi-Attribute Decision Making. Informatica, 31(1), 35-63. https://doi.org/10.15388/20-INFOR392

Hwang, C., & Yoon, K. (1981). Multiple attributes decision making: Methods and applications. Springer. https://doi.org/10.1007/978-3-642-48318-9

Ilinitch, A. Y., Soderstrom, N. S., & E. Thomas, T. (1998). Measuring corporate environmental performance. Journal of Accounting and Public Policy, 17(4), 383-408. https://doi.org/https://doi.org/10.1016/S0278-4254(98)10012-1

Junaid, M., Xue, Y., Syed, M. W., Li, J. Z., & Ziaullah, M. (2020). A neutrosophic ahp and topsis framework for supply chain risk assessment in automotive industry of Pakistan. Sustainability, 12(1). https://doi.org/10.3390/SU12010154

Kamran, H. W., Pantamee, A. A., Patwary, A. K., Ghauri, T. A., Long, P. D., & Nga, D. Q. (2021). Measuring the association of environmental, corporate, financial, and social CSR: Evidence from fuzzy TOPSIS nexus in emerging economies. Environmental Science and Pollution Research International, 28(9), 10749-10762. https://doi.org/10.1007/s11356-020-11336-4

Keshavarz-Ghorabaee, M. (2021). Assessment of distribution center locations using a multi-expert subjective-objective decision-making approach. Scientific Reports, 11(1), 19461. https://doi.org/10.1038/s41598-021-98698-y

Keshavarz-Ghorabaee, M., Amiri, M., Hashemi-Tabatabaei, M., & Ghahremanloo, M. (2021a). Sustainable public transportation evaluation using a novel hybrid method based on fuzzy BWM and MABAC. The Open Transportation Journal, 15(1), 31-46. https://doi.org/10.2174/1874447802115010031

Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alternatives (SECA) for Multi-criteria decision-making. Informatica, 29(2), 265-280. https://doi.org/10.15388/Informatica.2018.167

Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2021b). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry, 13(4). https://doi.org/10.3390/sym13040525

Khatter, K. (2020). Neutrosophic linear programming using possibilistic mean. Soft Computing, 24(22), 16847-16867. https://doi.org/10.1007/s00500-020-04980-y

Kilic, H. S., Yurdaer, P., & Aglan, C. (2021). A leanness assessment methodology based on neutrosophic DEMATEL. Journal of Manufacturing Systems, 59, 320-344. https://doi.org/10.1016/j.jmsy.2021.03.003

Li, X., & Huang, X. (2019). The three-way decisions method based on theory of reliability with SV-triangular neutrosophic numbers. Symmetry, 11(7). https://doi.org/10.3390/sym11070888

Liern, V., & Pérez-Gladish, B. (2018). Ranking corporate sustainability: A flexible multidimensional approach based on linguistic variables. International Transactions in Operational Research, 25(3), 1081-1100. https://doi.org/https://doi.org/10.1111/itor.12469

Lu, K., Liao, H., & Zavadskas, E. K. (2021). An overview of fuzzy techniques in supply chain management: Bibliometrics, methodologies, applications and future directions. Technological and Economic Development of Economy, 27(2), 402-458. https://doi.org/10.3846/tede.2021.14433

Luo, S., Pedrycz, W., & Xing, L. (2021). Pricing of satellite image data products: Neutrosophic fuzzy pricing approaches under different game scenarios. Applied Soft Computing, 102, 107106. https://doi.org/10.1016/j.asoc.2021.107106

Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126-4148. https://doi.org/10.1016/j.eswa.2015.01.003

Mikhailov, L., & Tsvetinov, P. (2004). Evaluation of services using a fuzzy analytic hierarchy process. Applied Soft Computing Journal, 5(1), 23-33. https://doi.org/10.1016/j.asoc.2004.04.001

Nafei, A. H., Javadpour, A., Nasseri, H., & Yuan, W. (2021). Optimized score function and its application in group multiattribute decision making based on fuzzy neutrosophic sets. International Journal of Intelligent Systems, 36(12), 7522-7543. https://doi.org/10.1002/int.22597

Opricovic, S. (1998). Visekriterijumska optimizacija sistema u gradjevinarstvu [Multicriteria optimization of civil engineering systems]. Faculty of Civil Engineering, University of Belgrade, Belgrade (in Serbian).

Roy, B. (1996). Multicriteria methodology for decision aiding (Vol. 12). Springer Science & Business Media. https://doi.org/10.1007/978-1-4757-2500-1

Roy, P. K., & Shaw, K. (2022). Modelling a sustainable credit score system (SCSS) using BWM and fuzzy TOPSIS. International Journal of Sustainable Development & World Ecology, 29(3), 195-208. https://doi.org/10.1080/13504509.2021.1935360

Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill Inc.

Saaty, T., & Vargas, L. (2006). Decision making with the analytic network process. Economic, political, social and technological applications with benefits, opportunities, costs and risks (Vol. 95). Springer. https://doi.org/10.1007/0-387-33987-6

Smarandache, F. (1999). A unifying field in logics, neutrosophy: Neutrosophic probability, set and logic. American Research Press.

Stankevičiene, J., & Mencaite, E. (2012). The evaluation of bank performance using a multicriteria decision making model: A case study on Lithuanian commercial banks. Technological and Economic Development of Economy, 18(1), 189-205. https://doi.org/10.3846/20294913.2012.668373

Tavana, M., Zareinejad, M., Di Caprio, D., & Kaviani, M. A. (2016). An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics. Applied Soft Computing Journal, 40, 544-557. https://doi.org/10.1016/j.asoc.2015.12.005

Turksen, I. B. (1986). Interval valued fuzzy sets based on normal forms. Fuzzy Sets and Systems, 20(2), 191-210. https://doi.org/10.1016/0165-0114(86)90077-1

van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems, 11(1), 229-241. https://doi.org/10.1016/S0165-0114(83)80082-7

van Marrewijk, M. (2003). European corporate sustainability framework. International. Journal of Business Performance Measurement, 5(2/3), 121-132. https://doi.org/10.1504/IJBPM.2003.003253

Wan, S. P., Li, D. F., & Rui, Z. F. (2013). Possibility mean, variance and covariance of triangular intuitionistic fuzzy numbers. Journal of Intelligent and Fuzzy Systems, 24(4), 847-858. https://doi.org/10.3233/IFS-2012-0603

Wei, G., Wu, J., Guo, Y., Wang, J., & Wei, C. (2021). An extended copras model for multiple attribute group decision making based on single-valued neutrosophic 2-tuple linguistic environment. Technological and Economic Development of Economy, 27(2), 353-368. https://doi.org/10.3846/tede.2021.14057

Wulf, I., Niemöller, J., & Rentzsch, N. (2014). Development toward integrated reporting, and its impact on corporate governance: A two-dimensional approach to accounting with reference to the German two-tier system. Journal of Management Control, 25, 135-164. https://doi.org/10.1007/s00187-014-0200-z

Ye, J. (2017). Some weighted aggregation operators of trapezoidal neutrosophic numbers and their multiple attribute decision making method. Informatica, 28(2), 387-402. https://doi.org/10.15388/Informatica.2017.135

Yoon, K., & Hwang, C.-L. (1981). Multiple attribute decision making. Springer-Verlag.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X

Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8, 199-249. https://doi.org/10.1007/978-1-4684-2106-4_1

Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 122(6), 3-6. https://doi.org/10.5755/j01.eee.122.6.1810

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