Evaluación del progreso social global mediante la entropía de Shannon y la lógica difusa

Autores/as

DOI:

https://doi.org/10.33110/inceptum.v21i40.522

Palabras clave:

Entropía de Shannon, Índice de Progreso Social, Lógica difusa

Resumen

Este estudio propone un enfoque metodológico que combina lógica difusa y entropía de Shannon para analizar la estructura del Índice de Progreso Social (IPS). El objetivo del documento es cuantificar la entropía entre las diferentes dimensiones que conforman el índice de progreso social en distintas naciones. Para ello, se analizaron datos de 146 países durante el período 2014–2018, aplicando un algoritmo humanista, para construir subconjuntos borrosos y estimar su nivel de entropía. Los resultados revelan patrones regionales diferenciados: los países europeos, especialmente los nórdicos, presentan bajos niveles de entropía, lo que indica mayor coherencia estructural del progreso social; en contraste, varios países del África subsahariana muestran altos niveles de entropía, reflejando mayor dispersión y fragilidad estructural. Este enfoque aporta una herramienta útil para el análisis comparativo del desarrollo social, ya que permite modelar la incertidumbre, la ambigüedad y los datos imprecisos.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Ahmadi, H., Mohebi, M., Nikbeen, H., Rasoli, K., Sharifpour, Y., Soleymani, A., Taghvaee, V.M., Yousefi, A., 2021. Sustainable development and modern customs: A review on customs conventions of World Customs Organization. Global Trade and Customs Journal 16 (7), 363–383. https://kluwerlawonline.com/journalarticle/Global+Trade+and+Customs+Journal/16.7/GTCJ2021040.

Alonso-Martínez, D., 2018. Social progress and international patent collaboration. Technol. Forecast. Soc. Chang. 134, 169–177.

Andriantiatsaholiniaina, L. A., Kouikoglou, V. S., & Phillis, Y. A. (2004). Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis. Ecological Economics, 48(2), 149–172. https://doi.org/10.1016/j.ecolecon.2003.08.009

Ardin, C. (2017).Applying fuzzy logic theory to performance management, Pressacademia, 5(1), pp. 153–162. Available at: https://doi.org/10.17261/pressacademia.2017.584.

Asghar, M., Ben Cheikh, N., Hunjra, A.I., Khan, A., 2024. Assessing the impact of natural capital and innovation on sustainable development in developing countries. J. Clean. Prod. 460, 142576. https://doi.org/10.1016/j.jclepro.2024.142576.

Barron, P., Cord, L., Cuesta, J., Espinoza, S., Woolcock, M., 2023. Social sustainability in development: meeting the challenges of the 21st century. World Bank. Publications.

Beltrán-Esteve, M., Peiró-Palomino, J., Picazo-Tadeo, A.J., et al., 2023. Is the European Social Progress Index robust? Implications for the design of European Union regional cohesion policy. Reg. Stud. 57(11), 2285–2306.

Cebi, S., Karakurt, N. F., Kurtulus, E., & Tokgoz, B. (2024). Development of a decision support system for client acceptance in independent audit process. International Journal of Accounting Information Systems, 53, 100683. https://doi.org/10.1016/j.accinf.2024.100683

Chen, L., & Pan, W. (2021). Review fuzzy multi-criteria decision-making in construction management using a network approach. Applied Soft Computing, 102, 107103. https://doi.org/10.1016/j.asoc.2021.107103

Christos Bentsos, Dionysios Polemis; Concentration of the LNG seaborne trade. Maritime Business Review (2025); https://doi.org/10.1108/MABR-10-2024-0079

Cover, T. M. ., & Thomas, J. A. . (2006). Elements of information theory. Wiley-Interscience.

De Sisto, M., Ul-Durar, S., Arshed, N., Iqbal, M., & Nazarian, A. (2024). Natural resource extraction-Sustainable development relationship and energy productivity moderation in resource-rich countries: A panel Bayesian regression analysis. Journal of Cleaner Production, 477, 143775.

Firli, A., Rahadian, D., Dinçer, H., Yüksel, S., Isyuwardhana, D., Cahyaningsih, N., & Fariska, P. (2025). Expert-based sustainable investment strategies for SMEs with hybrid molecular fuzzy learning algorithms. Sustainable Futures, 100575. https://doi.org/10.1016/j.sftr.2025.100575

Germano, F. (2022). Entropy, directionality theory and the evolution of income inequality. Journal of Economic Behavior & Organization, 198, 15–43. https://doi.org/10.1016/j.jebo.2022.03.017

Hajian, M., Jangchi Kashani, S., 2021. Evolution of the concept of sustainability. from Brundtland Report to sustainable development goals. In: Sustainable Resource Management. Elsevier, pp. 124. https://doi.org/10.1016/B978-0-12-824342- 8.00018-3.

Hendiani, S., & Bagherpour, M. (2019). Developing an integrated index to assess social sustainability in construction industry using fuzzy logic. Journal Of Cleaner Production, 230, 647-662. https://doi.org/10.1016/j.jclepro.2019.05.055

Herencia, J. A. (2012). A Probabilistic View of De Luca and Termini’s Entropy (pp. 4–14). https://doi.org/10.1007/978-3-642-31715-6_2

Htitich, M., Krylová, P., & Harmáček, J. (2024). Just Transition Score: Measuring the relative sustainability of social progress. Environmental And Sustainability Indicators, 23, 100440. https://doi.org/10.1016/j.indic.2024.100440

Jaynes, E.T. (1957) Information Theory and Statistical Mechanics. Physical Review, 106, 620-630. https://doi.org/10.1103/PhysRev.106.620

Kamran, M., Rafique, M.Z., Nadeem, A.M., Anwar, S., 2023. Does inclusive growth contribute towards sustainable development? evidence from selected developing countries. Soc. Indic. Res. 165 (2), 409–429. https://doi.org/10.1007/s11205-022- 03020-6.

Kerimkhulle, S., Obrosova, N., Shananin, A., Tokhmetov, 2023. A.Young Duality for Variational Inequalities and Nonparametric Method of Demand Analysis in Input- Output Models with Inputs Substitution: Application for Kazakhstan Economy. Mathematics 11 (19), 4216. https://doi.org/10.3390/math11194216.

Khodaparast Shirazi, J., Mohamad Taghvaee, V., Nasiri, M., et al., 2020. Sustainable development and openness in oil-exporting countries: green growth and brown growth. Economic Structures 9, 40. https://doi.org/10.1186/s40008-020-00216-2.

Kirkby, J., O’Keefe, P., Timberlake, L., 2023. Sustainable development: an introduction. The Earthscan Reader in Sustainable Development 1–14. https://doi.org/10.4324/ 9781003403432-1.

Lin, J.H. (1991) Divergence Measures Based on the Shannon Entropy. IEEE Transactions on Information Theory, 37, 145-151.

Liu, P., Liu, X. and Yang, H. (2019), “Evaluation of the marine economic development quality in Qingdao based on entropy and grey relational analysis”, Marine Economics and Management, Vol. 2 No. 1, pp. 29-38, doi: https://doi.org/10.1108/maem-08-2019-0005.

Llorente-González, L., Alberich, J. P., Genovese, A., & Lowe, B. H. (2025). Towards radical circular economy futures: Addressing social relations of production. Technological Forecasting and Social Change, 213, 123972. https://doi.org/10.1016/j.techfore.2025.123972

Meller, P. (1973). La medición de entropía como indicador del grado de concentración industrial en Chile. Años 1937, 1957, 1967. Cuadernos de Economía, 10(30/31), 168-194.

Miguel-Velasco, A. E., Maldonado-Cruz, P., Torres-Valdéz, J. C., & Cruz-Atayde, M. (s. f.). La entropía como indicador de las desigualdades regionales en México. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-84212008000200006

Mohamad Taghvaee, V., Assari Arani, A., Nodehi, M., Khodaparast Shirazi, J., Agheli, L., Neshat Ghojogh, H.M., Salehnia, N., Mirzaee, A., Taheri, S., Mohammadi Saber, R., Faramarzi, H., Alvandi, R., Ahmadi Rahbarian, H., 2023. Sustainable development goals: transportation, health and public policy. Review of Economics and Political Science 8 (2), 134–161. https://doi.org/10.1108/REPS-12-2019-0168.

Ni, L. and Fang, F. (2016) Entropy-Based Model-Free Feature Screening for Ultrahigh-Dimensional Multiclass Classification. Journal of Nonparametric Statistics, 28, 515-530. https://doi.org/10.1080/10485252.2016.1167206

Odetola, P. I., Babalola, B. J., Afolabi, A. E., Anamu, U. S., Olorundaisi, E., Umba, M. C., Phahlane, T., Ayodele, O. O., & Olubambi, P. A. (2024). RETRACTED: Exploring high entropy alloys: A review on thermodynamic design and computational modeling strategies for advanced materials applications. Heliyon, 10(22), e39660. https://doi.org/10.1016/j.heliyon.2024.e39660

Ormos, M. & Zibriczky, D. (2014). Entropy-based financial asset pricing. Plos One DOI:10:1371/journal.pone.0115742.

Peir´o-Palomino, J., Gianmoena, L., Picazo-Tadeo, A.J., Rios, V., 2024. Social trust and the advanced aspects of social progress. Evidence for the European regions. Eur. J. Polit. Econ. 83, 102547. https://doi.org/10.1016/j.ejpoleco.2024.102547.

Phillis, Y. A., & Andriantiatsaholiniaina, L. A. (2001). Sustainability: an ill-defined concept and its assessment using fuzzy logic. Ecological Economics, 37(3), 435–456. https://doi.org/10.1016/S0921-8009(00)00290-1

Purvis, B., Mao, Y., Robinson, D., 2019. Three pillars of sustainability: in search of conceptual origins. Sustain. Sci. 14, 681–695. https://doi.org/10.1007/s11625-018- 0627-5.

Qazi, A. (2025). Exploring the interdependencies among social progress index (SPI) components and their impact on country-level sustainability performance based on Bayesian Belief Network. Regional Sustainability, 6(3), 100230. https://doi.org/10.1016/j.regsus.2025.100230

Ramadhani, Y. and Susanto, D. (2022).Menggunakan Metode Fuzzy Logic Pada Lpp Rri’, J. Jaringan sistem informasi robotik (JSR), 6(2), pp. 226–232.

Sadiq, M., Ngo, T.Q., Pantamee, A.A., Khudoykulov, K., Thi Ngan, T., Tan, L.P., 2023. The role of environmental social and governance in achieving sustainable development goals: evidence from ASEAN countries. Economic Research-Ekonomska Istraˇzivanja 36 (1), 170–190. https://doi.org/10.1080/1331677X.2022.2072357.

Salvia, A.L., Leal Filho, W., Brandli, L.L., Griebeler, J.S., 2019. Assessing research trends related to Sustainable Development Goals: local and global issues. J. Clean. Prod. 208, 841–849. https://doi.org/10.1016/j.jclepro.2018.09.242.

Sepúlveda-Fontaine, S. A., & Amigó, J. M. (2024). Applications of Entropy in Data Analysis and Machine Learning: A Review. Entropy, 26(12), 1126. https://doi.org/10.3390/e26121126

Shannon, Claude Elwood (1948), "Mathematical Theory of Communication", Bell System Technical Journal, 27, University of Illinois Press, Illinois, pp. 379–423.

Shengde, H. and Zhonghua, L. (2022), “Performance analysis of marine ecological environment governance based on dpsir and entropy weight TOPSIS model”, Mobile Information Systems, Vol. 2022, pp. 9224879-10, doi: https://doi.org/10.1155/2022/9224879.

Singh, M., Malik, I., Hazzazi, F., & Kumar, A. (2025). High entropic engineering for sustainable energy and environmental applications. Journal of Environmental Chemical Engineering, 13(5), 118132. https://doi.org/10.1016/j.jece.2025.118132

SPI, 2026. Social Progress Report. The Social Progress Imperative. https://www.socialpr ogress.org/2025-social-progress-index/.

Stojic, G. (2012). Using fuzzy logic for evaluating the level of countries’ (regions’) economic development. Panoeconomicus, 59(3), 293–310. https://doi.org/10.2298/PAN1203293S

Tran, M. T., & Sarkar, A. (2025). Making Sense of the Messy: How Fuzzy Logic Can Help Us Solve Real-Life Problems (pp. 89–101). https://doi.org/10.1007/978-3-031-77719-6_5

Ukav, I. (2017), “Market structures and concentration measuring techniques”, Asian Journal of Agricultural Extension, Economics and Sociology, Vol. 19 No. 4, pp. 1-16, doi: https://doi.org/10.9734/AJAEES/2017/36066.

Vaskovskyi, A., 2020. Natural resources and quality of life: international evidence. Singapore Econ. Rev. 69, 169–182. https://doi.org/10.1142/s0217590820500605.

Wang, C., Hong, L., Qiang, X., & Xu, M. (2024). Novel numerical method for uncertainty analysis of coupled vibro-acoustic problem considering thermal stress. Computer Methods in Applied Mechanics and Engineering, 420, 116727.

Xu, G., Wang, X., Zhou, L., Shao, L., & Xu, X. (2013). Discrete Entropic Uncertainty Relations Associated with FRFT. Journal of Signal and Information Processing, 04(03), 120–124. https://doi.org/10.4236/jsip.2013.43B021

Xue, S., & Lin, C.-L. (2025). Integrated fuzzy MCDM for consumer-driven ceramic manufacturing sustainability within the UN SDGs framework. Scientific Reports, 15(1), 41634. https://doi.org/10.1038/s41598-025-25637-6

Yixiong He, Kewei Chen (2025); Research on the development quality of China’s marine carbon sinks. Marine Economics and Management; https://doi.org/10.1108/MAEM-06-2025-0020

Yu, H., Wang, Y. and Li, D. (2023), “Using the AHP-entropy weight method to study regional marine economy resilience in China”, Journal of Coastal Research, Vol. 39 No. 5, pp. 960-969, doi: https://doi.org/10.2112/jcoastres-d-22-00102.1.

Zadeh, L.A. (1965) Fuzzy Sets. Information Control, 8, 338-353. http://dx.doi.org/10.1016/S0019-9958(65)90241-X

Zeqiraj, V., Sohag, K., & Hammoudeh, S. (2022). Financial inclusion in developing countries: Do quality institutions matter?. Journal of International Financial Markets, Institutions and Money, 81, 101677.

Descargas

Publicado

2026-06-04

Cómo citar

Hernández-Duarte, T. A., Alfaro-García, V. G., Godínez-Reyes, N. L., & Aguilasocho-Montoya, D. (2026). Evaluación del progreso social global mediante la entropía de Shannon y la lógica difusa. INCEPTUM. Revista De Investigación En Ciencias De La Administración, 21(40), 19–36. https://doi.org/10.33110/inceptum.v21i40.522

Artículos similares

1 2 3 4 5 6 7 8 9 > >> 

También puede Iniciar una búsqueda de similitud avanzada para este artículo.