A theoretical framework of inverse fuzzy soft expert set with application in decision-making

Autores:: Jahanvi
Singh, Rashmi

Tipo de recurso:: Article of journal

Fecha de publicación:: 2026

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:: eng

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dc.title.spa.fl_str_mv	A theoretical framework of inverse fuzzy soft expert set with application in decision-making
title	A theoretical framework of inverse fuzzy soft expert set with application in decision-making
spellingShingle	A theoretical framework of inverse fuzzy soft expert set with application in decision-making decision-making inverse fuzzy soft set soft expert set fuzzy soft expert set toma de decisiones conjunto blando difuso inverso conjunto blando experto conjunto blando experto difuso
title_short	A theoretical framework of inverse fuzzy soft expert set with application in decision-making
title_full	A theoretical framework of inverse fuzzy soft expert set with application in decision-making
title_fullStr	A theoretical framework of inverse fuzzy soft expert set with application in decision-making
title_full_unstemmed	A theoretical framework of inverse fuzzy soft expert set with application in decision-making
title_sort	A theoretical framework of inverse fuzzy soft expert set with application in decision-making
dc.creator.fl_str_mv	Jahanvi Singh, Rashmi
dc.contributor.author.eng.fl_str_mv	Jahanvi Singh, Rashmi
dc.subject.none.fl_str_mv	decision-making inverse fuzzy soft set soft expert set fuzzy soft expert set toma de decisiones conjunto blando difuso inverso conjunto blando experto conjunto blando experto difuso
topic	decision-making inverse fuzzy soft set soft expert set fuzzy soft expert set toma de decisiones conjunto blando difuso inverso conjunto blando experto conjunto blando experto difuso
publishDate	2026
dc.date.accessioned.none.fl_str_mv	2026-07-09 00:00:00
dc.date.available.none.fl_str_mv	2026-07-09 00:00:00
dc.date.issued.none.fl_str_mv	2026-07-09
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.doi.none.fl_str_mv	10.19053/uptc.01211048.19306
dc.identifier.eissn.none.fl_str_mv	2422-3220
dc.identifier.url.none.fl_str_mv	https://doi.org/10.19053/uptc.01211048.19306
identifier_str_mv	0121-1048 10.19053/uptc.01211048.19306 2422-3220
url	https://doi.org/10.19053/uptc.01211048.19306
dc.language.iso.eng.fl_str_mv	eng
language	eng
dc.relation.references.eng.fl_str_mv	Adlassnig, K. P. (1986). Fuzzy Set Theory in Medical Diagnosis. IEEE Transactions on Systems, Man and Cybernetics, 16(2), 260 – 265. https://doi.org/10.1109/TSMC.1986.4308946 Akram, M., Ali, G., Alcantud, J. C. R., & Riaz, A. (2022). Group decision-making with Fermatean fuzzy soft expert knowledge. Artificial Intelligence Review, 55(7), 5349–5389. https://doi.org/10.1007/s10462-021-10119-8 Akram, M., Ali, G., Peng, X., & Ul Abidin, M. Z. (2022). Hybrid group decision-making technique under spherical fuzzy N-soft expert sets. Artificial Intelligence Review, 55(5), 4117–4163. https://doi.org/10.1007/s10462-021-10103-2 Ali, G., & Akram, M. (2020). Decision-Making Method Based on Fuzzy N-Soft Expert Sets. Arabian Journal for Science and Engineering, 45(12), 10381–10400. https://doi.org/10.1007/s13369-020-04733-x Alkhazaleh, S., & Salleh, A. R. (2011). Soft expert sets. Advances in Decision Sciences, Article ID 757868, 12 pages. https://doi.org/10.1155/2011/757868 Alkhazaleh, S., & Salleh, A. R. (2014). Fuzzy Soft Expert Set and Its Application. Applied Mathematics, 05(09), 1349–1368. https://doi.org/10.4236/am.2014.59127 Aygün, E., & Kamaci, H. (2019). Some generalized operations in soft set theory and their role in similarity and decision making. Journal of Intelligent and Fuzzy Systems, 36(6). https://doi.org/10.3233/JIFS-182924 Çetkin, V., Aygünoğlu, A., & Aygün, H. (2016). A new approach in handling soft decision making problems. Journal of Nonlinear Science and Applications, 9(1), 231-239. https://doi.org/10.22436/jnsa.009.01.21 Chen, Y., Zhou, X., & Ji, J. (2024). Bidirectional Adjustable N-Soft Expert PROMETHEE-II Model: A New Framework for Multi-Attribute Group Decision-Making. Group Decision and Negotiation, 34, 35–68. https://doi.org/10.1007/s10726-024-09904-x Ghous, A. L. I., Akram, M., Shahzadi, S., & Abidin, M. Z. U. (2021). Group decision-making framework with bipolar soft expert sets. Journal of Multiple-Valued Logic and Soft Computing, 37(3–4), 211-246. Hassan, N., Sayed, O. R., Khalil, A. M., & Ghany, M. A. (2017). Fuzzy Soft Expert System in Prediction of Coronary Artery Disease. International Journal of Fuzzy Systems, 19(5), 1546–1559. https://doi.org/10.1007/s40815-016-0255-0 Jahanvi, Nishad, D. K., Singh, R., & Khalid, S. (2026). A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. Scientific Reports. 16, 4256. https://doi.org/10.1038/s41598-025-34368-7 Jaleel, A., Mahmood, T., Emam, W., & Yin, S. (2024). Interval-valued bipolar complex fuzzy soft sets and their applications in decision making. Scientific Reports, 14(1), 11589. https://doi.org/10.1038/s41598-024-58792-3 Khalil, A. M., & Hassan, N. (2019). Inverse fuzzy soft set and its application in decision making. International Journal of Information and Decision Sciences, 11(1), 73-92. https://doi.org/10.1504/IJIDS.2019.096625 Khan, A., Abidin, M. Z., & Sarwar, M. A. (2025). Another View on Soft Expert Set and Its Application in Multi-Criteria Decision-Making. Mathematics, 13(2), 252. https://doi.org/10.3390/math13020252 Liu, W., Khalil, A. M., Basheer, R., & Lin, Y. (2023). Prediction System for Diagnosis and Detection of Coronavirus Disease-2019 (COVID-19): A Fuzzy-Soft Expert System. CMES - Computer Modeling in Engineering and Sciences, 135(3), 2715-2730. https://doi.org/10.32604/cmes.2023.024755 Liu, X. (2023). Fuzzy Soft Expert Matrix Theory and Its Application in Decision-Making. Open Journal of Applied Sciences, 13(08), 1403-1417. https://doi.org/10.4236/ojapps.2023.138111 Maji, P. K., Biswas, R. K., & Roy, A. (2001). Fuzzy Soft Sets. Journal of Fuzzy Mathematics, 9(3), 589–602. Maji, P. K., Biswas, R., & Roy, A. R. (2003). Soft Set Theory. Computers and Mathematics with Applications, 45(4-5), 555-562. https://doi.org/10.1016/S0898-1221(03)00016-6 Molodtsov, D. (1999). Soft Set Theory First Results. Computers and Mathematics with Applications, 37(4-5), 19-31. https://doi.org/10.1016/S0898-1221(99)00056-5 Pawlak, Z. (1982). Rough sets. International Journal of Computer & Information Sciences, 11(5). https://doi.org/10.1007/BF01001956 Şahin, M., & Uluçay, V. (2024). Intuitionistic Fuzzy Soft Expert Graphs with Application. Uncertainty Discourse and Application, 1(1), 1-10. https://doi.org/10.48313/uda.v1i1.16 Sathiyaseelan, N., Vijayabalaji, S., & Alcantud, J. C. R. (2023). Symmetric Matrices on Inverse Soft Expert Sets and Their Applications. Symmetry, 15(2), 313. https://doi.org/10.3390/sym15020313 Sezgin, A., & Atagün, A. O. (2011). On operations of soft sets. Computers and Mathematics with Applications, 61(5), 1457-1467. https://doi.org/10.1016/j.camwa.2011.01.018 Sezgin, A., & ÇAM, N. H. (2025). Soft Theta-product: A New Product for Soft Sets with Its Decision-Making. Multicriteria Algorithms with Applications, 6, 9-33. https://doi.org/10.61356/j.mawa.2025.6439 Vijayabalaji, S., Kalaiselvan, S., Davvaz, B., & Broumi, S. (2024). Soft expert approach in rough fuzzy set and its application in MCDM problem. Uncertainty Discourse and Applications, 1(1), 121-139. https://doi.org/10.48313/uda.v1i1.29 Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8(3), 338–353. https://doi.org/https://doi.org/10.1016/S0019-9958(65)90241-X
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dc.relation.ispartofjournal.eng.fl_str_mv	Inquietud Empresarial
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dc.relation.citationedition.eng.fl_str_mv	Núm. 2 , Año 2026 : Inquietud Empresarial 26(2) Julio-Diciembre
dc.rights.eng.fl_str_mv	Revista Inquietud Empresarial - 2026
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spelling	JahanviSingh, Rashmi2026-07-09 00:00:002026-07-09 00:00:002026-07-090121-104810.19053/uptc.01211048.193062422-3220https://doi.org/10.19053/uptc.01211048.19306application/pdfengUnidad Editorial UPTCRevista Inquietud Empresarial - 2026https://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/19306decision-makinginverse fuzzy soft setsoft expert setfuzzy soft expert settoma de decisionesconjunto blando difuso inversoconjunto blando expertoconjunto blando experto difusoA theoretical framework of inverse fuzzy soft expert set with application in 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_970fb48d4fbd8a85Adlassnig, K. P. (1986). Fuzzy Set Theory in Medical Diagnosis. IEEE Transactions on Systems, Man and Cybernetics, 16(2), 260 – 265. https://doi.org/10.1109/TSMC.1986.4308946 Akram, M., Ali, G., Alcantud, J. C. R., & Riaz, A. (2022). Group decision-making with Fermatean fuzzy soft expert knowledge. Artificial Intelligence Review, 55(7), 5349–5389. https://doi.org/10.1007/s10462-021-10119-8 Akram, M., Ali, G., Peng, X., & Ul Abidin, M. Z. (2022). Hybrid group decision-making technique under spherical fuzzy N-soft expert sets. Artificial Intelligence Review, 55(5), 4117–4163. https://doi.org/10.1007/s10462-021-10103-2 Ali, G., & Akram, M. (2020). Decision-Making Method Based on Fuzzy N-Soft Expert Sets. Arabian Journal for Science and Engineering, 45(12), 10381–10400. https://doi.org/10.1007/s13369-020-04733-x Alkhazaleh, S., & Salleh, A. R. (2011). Soft expert sets. Advances in Decision Sciences, Article ID 757868, 12 pages. https://doi.org/10.1155/2011/757868 Alkhazaleh, S., & Salleh, A. R. (2014). Fuzzy Soft Expert Set and Its Application. Applied Mathematics, 05(09), 1349–1368. https://doi.org/10.4236/am.2014.59127 Aygün, E., & Kamaci, H. (2019). Some generalized operations in soft set theory and their role in similarity and decision making. Journal of Intelligent and Fuzzy Systems, 36(6). https://doi.org/10.3233/JIFS-182924 Çetkin, V., Aygünoğlu, A., & Aygün, H. (2016). A new approach in handling soft decision making problems. Journal of Nonlinear Science and Applications, 9(1), 231-239. https://doi.org/10.22436/jnsa.009.01.21 Chen, Y., Zhou, X., & Ji, J. (2024). Bidirectional Adjustable N-Soft Expert PROMETHEE-II Model: A New Framework for Multi-Attribute Group Decision-Making. Group Decision and Negotiation, 34, 35–68. https://doi.org/10.1007/s10726-024-09904-x Ghous, A. L. I., Akram, M., Shahzadi, S., & Abidin, M. Z. U. (2021). Group decision-making framework with bipolar soft expert sets. Journal of Multiple-Valued Logic and Soft Computing, 37(3–4), 211-246. Hassan, N., Sayed, O. R., Khalil, A. M., & Ghany, M. A. (2017). Fuzzy Soft Expert System in Prediction of Coronary Artery Disease. International Journal of Fuzzy Systems, 19(5), 1546–1559. https://doi.org/10.1007/s40815-016-0255-0 Jahanvi, Nishad, D. K., Singh, R., & Khalid, S. (2026). A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. Scientific Reports. 16, 4256. https://doi.org/10.1038/s41598-025-34368-7 Jaleel, A., Mahmood, T., Emam, W., & Yin, S. (2024). Interval-valued bipolar complex fuzzy soft sets and their applications in decision making. Scientific Reports, 14(1), 11589. https://doi.org/10.1038/s41598-024-58792-3 Khalil, A. M., & Hassan, N. (2019). Inverse fuzzy soft set and its application in decision making. International Journal of Information and Decision Sciences, 11(1), 73-92. https://doi.org/10.1504/IJIDS.2019.096625 Khan, A., Abidin, M. Z., & Sarwar, M. A. (2025). Another View on Soft Expert Set and Its Application in Multi-Criteria Decision-Making. Mathematics, 13(2), 252. https://doi.org/10.3390/math13020252 Liu, W., Khalil, A. M., Basheer, R., & Lin, Y. (2023). Prediction System for Diagnosis and Detection of Coronavirus Disease-2019 (COVID-19): A Fuzzy-Soft Expert System. CMES - Computer Modeling in Engineering and Sciences, 135(3), 2715-2730. https://doi.org/10.32604/cmes.2023.024755 Liu, X. (2023). Fuzzy Soft Expert Matrix Theory and Its Application in Decision-Making. Open Journal of Applied Sciences, 13(08), 1403-1417. https://doi.org/10.4236/ojapps.2023.138111 Maji, P. K., Biswas, R. K., & Roy, A. (2001). Fuzzy Soft Sets. Journal of Fuzzy Mathematics, 9(3), 589–602. Maji, P. K., Biswas, R., & Roy, A. R. (2003). Soft Set Theory. Computers and Mathematics with Applications, 45(4-5), 555-562. https://doi.org/10.1016/S0898-1221(03)00016-6 Molodtsov, D. (1999). Soft Set Theory First Results. Computers and Mathematics with Applications, 37(4-5), 19-31. https://doi.org/10.1016/S0898-1221(99)00056-5 Pawlak, Z. (1982). Rough sets. International Journal of Computer & Information Sciences, 11(5). https://doi.org/10.1007/BF01001956 Şahin, M., & Uluçay, V. (2024). Intuitionistic Fuzzy Soft Expert Graphs with Application. Uncertainty Discourse and Application, 1(1), 1-10. https://doi.org/10.48313/uda.v1i1.16 Sathiyaseelan, N., Vijayabalaji, S., & Alcantud, J. C. R. (2023). Symmetric Matrices on Inverse Soft Expert Sets and Their Applications. Symmetry, 15(2), 313. https://doi.org/10.3390/sym15020313 Sezgin, A., & Atagün, A. O. (2011). On operations of soft sets. Computers and Mathematics with Applications, 61(5), 1457-1467. https://doi.org/10.1016/j.camwa.2011.01.018 Sezgin, A., & ÇAM, N. H. (2025). Soft Theta-product: A New Product for Soft Sets with Its Decision-Making. Multicriteria Algorithms with Applications, 6, 9-33. https://doi.org/10.61356/j.mawa.2025.6439 Vijayabalaji, S., Kalaiselvan, S., Davvaz, B., & Broumi, S. (2024). Soft expert approach in rough fuzzy set and its application in MCDM problem. Uncertainty Discourse and Applications, 1(1), 121-139. https://doi.org/10.48313/uda.v1i1.29 Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8(3), 338–353. https://doi.org/https://doi.org/10.1016/S0019-9958(65)90241-X142126Inquietud Empresarialhttps://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/download/19306/17299Núm. 2 , Año 2026 : Inquietud Empresarial 26(2) Julio-DiciembrePublicationOREORE.xmltext/xml2592https://repositorio.uptc.edu.co/bitstreams/f7e5a5dd-bda3-4718-ad90-9040cad70c0d/downloadb64cf4ef00d381375a7838139c20c081MD51falseAnonymousREAD001/22473oai:repositorio.uptc.edu.co:001/224732026-10-31 03:30:17.239https://creativecommons.org/licenses/by-nc-nd/4.0/metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

A theoretical framework of inverse fuzzy soft expert set with application in decision-making

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