Application of new fuzzy measure in multi-attribute decision-making

Autores:: Chhabra, sonam
Chhabra, Praphull

Tipo de recurso:: Article of journal

Fecha de publicación:: 2024

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.es-ES.fl_str_mv	Application of new fuzzy measure in multi-attribute decision-making
title	Application of new fuzzy measure in multi-attribute decision-making
spellingShingle	Application of new fuzzy measure in multi-attribute decision-making New fuzzy divergence measure Properties Multi Attribute Decision Making Numerical presentation Nueva medida de divergencia difusa propiedades toma de decisiones multiatributo presentación numérica
title_short	Application of new fuzzy measure in multi-attribute decision-making
title_full	Application of new fuzzy measure in multi-attribute decision-making
title_fullStr	Application of new fuzzy measure in multi-attribute decision-making
title_full_unstemmed	Application of new fuzzy measure in multi-attribute decision-making
title_sort	Application of new fuzzy measure in multi-attribute decision-making
dc.creator.fl_str_mv	Chhabra, sonam Chhabra, Praphull
dc.contributor.author.eng.fl_str_mv	Chhabra, sonam Chhabra, Praphull
dc.subject.none.fl_str_mv	New fuzzy divergence measure Properties Multi Attribute Decision Making Numerical presentation Nueva medida de divergencia difusa propiedades toma de decisiones multiatributo presentación numérica
topic	New fuzzy divergence measure Properties Multi Attribute Decision Making Numerical presentation Nueva medida de divergencia difusa propiedades toma de decisiones multiatributo presentación numérica
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-09-25 00:00:00 2026-04-16T17:28:22Z
dc.date.available.none.fl_str_mv	2024-09-25 00:00:00
dc.date.issued.none.fl_str_mv	2024-09-25
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dc.relation.references.none.fl_str_mv	Bajaj, R. K., & Hooda, D. S. (2010). On some new generalized measures of fuzzy information. World Academy of Science, Engineering and Technology, 38, 747–752. Bozorg‐Haddad, O., Loáiciga, H., & Zolghadr‐Asli, B. (2021). Handbook on Multi‐Attribute Decision‐Making Methods. https://doi.org/10.1002/9781119563501 Bhandari, D., & Pal, N. R. (1993). Some new information measures for fuzzy sets. Information Sciences, 67(3), 209–228. https://doi.org/10.1016/0020-0255(93)90073-u Celik, E., Gul, M., Yucesan, M., & Mete, S. (2019). Stochastic multi-criteria decision-making: an overview to methods and applications. Beni-Suef University Journal of Basic and Applied Sciences, 8(1). https://doi.org/10.1186/s43088-019-0005-0. Chhabra, P., & Chhabra, S. (2023). A new fuzzy divergence measure and its properties. In Proceedings of the 1st International Conference on Computational Applied Sciences and Its Applications (AIP Conf. Proc. 2768, pp. 020030-1–020030-8). ICCASA, Jaipur, India. https://doi.org/10.1063/5.0148323 Criado, F., & Gachechiladze, T. (1997). Entropy of fuzzy events. Fuzzy Sets and Systems, 88(1), 99–106. https://doi.org/10.1016/s0165-0114(96)00073-5 De Luca, A., & Termini, S. (1972). A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory. Information and Control, 20(4), 301–312. https://doi.org/10.1016/s0019-9958(72)90199-4 Jain, K. C., & Chhabra, P. (2014). Bounds of new f-divergence measure by using new information inequality. Antarctica Journal of Mathematics, 11(1), 55–68. Kahraman, C. (2008). Multi-criteria decision-making methods and fuzzy sets. In Springer Optimization and Its Applications (pp. 1–18). https://doi.org/10.1007/978-0-387-76813-7_1 Montes, S., Couso, I., Gil, P., & Bertoluzza, C. (2002). Divergence measure between fuzzy sets. International Journal of Approximate Reasoning, 30(2), 91–105. https://doi.org/10.1016/s0888-613x(02)00063-4 Ohlan, A. (2015). A New Generalized Fuzzy Divergence Measure and Applications. Fuzzy Information and Engineering, 7(4), 507–523. https://doi.org/10.1016/j.fiae.2015.11.007 Pal, N., & Bezdek, J. (1994). Measuring fuzzy uncertainty. IEEE Transactions on Fuzzy Systems, 2(2), 107–118. https://doi.org/10.1109/91.277960 Pal, N. R., & Pal, S. K. (1989). Object-background segmentation using new definitions of entropy. IEE Proceedings E (Computers and Digital Techniques), 136(4), 284–295. https://doi.org/10.1049/ip-e.1989.0039 Parkash, O., & Gandhi, C. P. (2010). Applications of trigonometric measures of fuzzy entropy to geometry. World Academy of Science, Engineering and Technology, 37, 468–471. Rani, P., Govindan, K., Mishra, A. R., Mardani, A., Alrasheedi, M., & Hooda, D. S. (2020b). Unified Fuzzy Divergence Measures with Multi-Criteria Decision Making Problems for Sustainable Planning of an E-Waste Recycling Job Selection. Symmetry, 12(1), 90. https://doi.org/10.3390/sym12010090 Rényi,A.(1961).On measures of entropy and information. In Proceedings of the Fourth Berkeley Symposium on Mathematics, Statistics, and Probability, Vol. I (pp. 547–562). University of California Press. Shannon, C. E. (1948). A Mathematical Theory of Communication. Bell System Technical Journal, 27(3), 379–423. Umar, A., & Saraswat, R. N. (2021). New Generalized Intuitionistic Fuzzy Divergence Measure with Applications to Multi-Attribute Decision Making and Pattern Recognition. Recent Advances in Computer Science and Communications, 14(7), 2247–2266. https://doi.org/10.2174/2666255813666200224093221 Verma ,R.,& Sharma, B.D. (2011). On generalized exponential fuzzy entropy. World Academy of Science, Engineering and Technology, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, 5(12), 1895–1898. Verma, R., & Sharma, B. D. (2014). A New Inaccuracy Measure for Fuzzy Sets and its Application in Multi-Criteria Decision Making. International Journal of Intelligent Systems and Applications, 6(5), 62–69. https://doi.org/10.5815/ijisa.2014.05.06 Verma, R., & Dev, B. (2015). Hesitant fuzzy geometric Heronian mean operators and their application to multi-criteria decision making. Scientiae Mathematicae Japonicae, 281, 23–39. Yager, R. R. (2001). A general approach to uncertainty representation using fuzzy measures. In The Florida AI Research Society (pp. 619–623). Zadeh, L. (1968). Probability measures of Fuzzy events. Journal of Mathematical Analysis and Applications, 23(2), 421–427. Zadeh, L. A. (2002). Toward a generalized theory of uncertainty (GTU): An outline. Information Sciences: Informatics and Computer Sciences, 172(1), 1–40. Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/s0019-9958(65)90241-x
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dc.relation.citationedition.eng.fl_str_mv	Núm. 2 , Año 2024 : Inquietud Empresarial 24(2) July-December
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spelling	Chhabra, sonamChhabra, Praphull2024-09-25 00:00:002026-04-16T17:28:22Z2024-09-25 00:00:002024-09-250121-1048https://repositorio.uptc.edu.co/handle/001/2014510.19053/uptc.01211048.179012422-3220https://doi.org/10.19053/uptc.01211048.17901text/xmlapplication/pdfUnidad Editorial UPTChttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/17901New fuzzy divergence measurePropertiesMulti Attribute Decision MakingNumerical presentationNueva medida de divergencia difusapropiedadestoma de decisiones multiatributopresentación numéricaApplication of new fuzzy measure in multi-attribute decision-makingArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85Bajaj, R. K., & Hooda, D. S. (2010). On some new generalized measures of fuzzy information. World Academy of Science, Engineering and Technology, 38, 747–752.Bozorg‐Haddad, O., Loáiciga, H., & Zolghadr‐Asli, B. (2021). Handbook on Multi‐Attribute Decision‐Making Methods. https://doi.org/10.1002/9781119563501Bhandari, D., & Pal, N. R. (1993). Some new information measures for fuzzy sets. Information Sciences, 67(3), 209–228. https://doi.org/10.1016/0020-0255(93)90073-uCelik, E., Gul, M., Yucesan, M., & Mete, S. (2019). Stochastic multi-criteria decision-making: an overview to methods and applications. Beni-Suef University Journal of Basic and Applied Sciences, 8(1). https://doi.org/10.1186/s43088-019-0005-0.Chhabra, P., & Chhabra, S. (2023). A new fuzzy divergence measure and its properties. In Proceedings of the 1st International Conference on Computational Applied Sciences and Its Applications (AIP Conf. Proc. 2768, pp. 020030-1–020030-8). ICCASA, Jaipur, India. https://doi.org/10.1063/5.0148323Criado, F., & Gachechiladze, T. (1997). Entropy of fuzzy events. Fuzzy Sets and Systems, 88(1), 99–106. https://doi.org/10.1016/s0165-0114(96)00073-5De Luca, A., & Termini, S. (1972). A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory. Information and Control, 20(4), 301–312. https://doi.org/10.1016/s0019-9958(72)90199-4Jain, K. C., & Chhabra, P. (2014). Bounds of new f-divergence measure by using new information inequality. Antarctica Journal of Mathematics, 11(1), 55–68.Kahraman, C. (2008). Multi-criteria decision-making methods and fuzzy sets. In Springer Optimization and Its Applications (pp. 1–18). https://doi.org/10.1007/978-0-387-76813-7_1Montes, S., Couso, I., Gil, P., & Bertoluzza, C. (2002). Divergence measure between fuzzy sets. International Journal of Approximate Reasoning, 30(2), 91–105. https://doi.org/10.1016/s0888-613x(02)00063-4Ohlan, A. (2015). A New Generalized Fuzzy Divergence Measure and Applications. Fuzzy Information and Engineering, 7(4), 507–523. https://doi.org/10.1016/j.fiae.2015.11.007Pal, N., & Bezdek, J. (1994). Measuring fuzzy uncertainty. IEEE Transactions on Fuzzy Systems, 2(2), 107–118. https://doi.org/10.1109/91.277960Pal, N. R., & Pal, S. K. (1989). Object-background segmentation using new definitions of entropy. IEE Proceedings E (Computers and Digital Techniques), 136(4), 284–295. https://doi.org/10.1049/ip-e.1989.0039Parkash, O., & Gandhi, C. P. (2010). Applications of trigonometric measures of fuzzy entropy to geometry. World Academy of Science, Engineering and Technology, 37, 468–471.Rani, P., Govindan, K., Mishra, A. R., Mardani, A., Alrasheedi, M., & Hooda, D. S. (2020b). Unified Fuzzy Divergence Measures with Multi-Criteria Decision Making Problems for Sustainable Planning of an E-Waste Recycling Job Selection. Symmetry, 12(1), 90. https://doi.org/10.3390/sym12010090Rényi,A.(1961).On measures of entropy and information. In Proceedings of the Fourth Berkeley Symposium on Mathematics, Statistics, and Probability, Vol. I (pp. 547–562). University of California Press.Shannon, C. E. (1948). A Mathematical Theory of Communication. Bell System Technical Journal, 27(3), 379–423.Umar, A., & Saraswat, R. N. (2021). New Generalized Intuitionistic Fuzzy Divergence Measure with Applications to Multi-Attribute Decision Making and Pattern Recognition. Recent Advances in Computer Science and Communications, 14(7), 2247–2266. https://doi.org/10.2174/2666255813666200224093221Verma ,R.,& Sharma, B.D. (2011). On generalized exponential fuzzy entropy. World Academy of Science, Engineering and Technology, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, 5(12), 1895–1898.Verma, R., & Sharma, B. D. (2014). A New Inaccuracy Measure for Fuzzy Sets and its Application in Multi-Criteria Decision Making. International Journal of Intelligent Systems and Applications, 6(5), 62–69. https://doi.org/10.5815/ijisa.2014.05.06Verma, R., & Dev, B. (2015). Hesitant fuzzy geometric Heronian mean operators and their application to multi-criteria decision making. Scientiae Mathematicae Japonicae, 281, 23–39.Yager, R. R. (2001). A general approach to uncertainty representation using fuzzy measures. In The Florida AI Research Society (pp. 619–623).Zadeh, L. (1968). Probability measures of Fuzzy events. Journal of Mathematical Analysis and Applications, 23(2), 421–427.Zadeh, L. A. (2002). Toward a generalized theory of uncertainty (GTU): An outline. Information Sciences: Informatics and Computer Sciences, 172(1), 1–40.Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/s0019-9958(65)90241-x122124Inquietud Empresarialhttps://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/download/17901/15940https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/download/17901/14709Núm. 2 , Año 2024 : Inquietud Empresarial 24(2) July-DecemberPublicationOREORE.xmltext/xml2562https://repositorio.uptc.edu.co/bitstreams/b7c29f5f-4390-4b00-820e-5dabac0e2811/download0b1427fd45615a7d5caddd43e5e7d242MD51falseAnonymousREAD001/20145oai:repositorio.uptc.edu.co:001/201452026-10-30 06:39:16.56https://creativecommons.org/licenses/by-nc-nd/4.0/metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Application of new fuzzy measure in multi-attribute decision-making

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