Volume 26 , Issue 3 , PP: 191-201, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Ayman.A Hazaymeh 1 , Anwar Bataihah 2 *
Doi: https://doi.org/10.54216/IJNS.260313
Decision-making procedures frequently encounter disputes or contradictions between expert perspectives, and thus we need ways to resolve them. When working with many viewpoints in a decision-making environment, this method enables dynamic, changing input from different experts, which may be particularly helpful in real- world situations like expert systems and group decision-making. In this work, we provide multiple opinions in the fuzzy soft expert set and their application to decision-making issues (MO-FSES), which is an extension of the fuzzy soft set, and multiple opinions in time fuzzy soft expert set. The characteristics of its primary operations complement, union intersection, AND, and OR will also be defined and examined by me. Lastly, we will use this strategy for decision-making challenges.
Soft set , Fuzzy soft set , Soft expert set , Fuzzy soft expert set , Multiple opinions
[1] D. Molodtsov, Soft set theory–first results, Computers & Mathematics with Applications 37(2)(1999) 19–31.
[2] P. K. Maji, A. R. Roy and R. Biswas, Soft set theory, Computers & Mathematics with Applications, 54 (4–5)(2003) 555–562.
[3] P. K. Maji, A. R. Roy and R. Biswas, An application of soft sets in a decision making problem, Computers & Mathematics with Applications44 (8–9)(2002) 1077–1083.
[4] P. K. Maji, A. R. Roy and R. Biswas, Fuzzy soft sets, Journal of Fuzzy Mathematics 9 (3)(2001) 589–602.
[5] R. Roy and P. K. Maji, A fuzzy soft set theoretic approach to decision making problems, Journal ofComputational and Applied Mathematics 203 (2)(2007) 412–418.
[6] Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management Science,17(4), B141–B164.
[7] Chiclana, F., Herrera-Viedma, E., & Jim´enez, R. (2014). Aggregating fuzzy opinions for multi-criteria decision making. Fuzzy Sets and Systems, 257, 61-80.
[8] L´opez, P. A., Chiclana, F., & Herrera-Viedma, E. (2013). Combining different opinions of experts in decision making. International Journal of Intelligent Systems, 28(1), 81-98.
[9] Mikhailov, L. (2003). Deriving priority scales from fuzzy pairwise comparison judgments. Fuzzy Sets and Systems, 134(3), 365-385.
[10] Wang, L., & Lee, S. (2009). A fuzzy logic model for ethical decision making in medicine. Artificial Intelligence in Medicine, 46(1), 1-12.
[11] Zadeh, L. A. (1994). Fuzzy logic and approximate reasoning. Synthese, 74(3), 253-290.
[12] Hazaymeh, A. A. M. (2013). Fuzzy Soft Set And Fuzzy Soft Expert Set: Some Generalizations And Hypothetical Applications (Doctoral dissertation, Universiti Sains Islam Malaysia.
[13] Ganie, A.H., Gheith, N.E.M., Al-Qudah, Y., Aqlan, A.M., Khalaf, M.M. An Innovative Fermatean Fuzzy Distance Metric With its Application in Classification and Bidirectional Approximate Reasoning. IEEE Access, 2024, 12, pp. 4780–4791
[14] S. Alkhazaleh and A. R. Salleh, Soft expert sets, Advances in Decision Sciences 2011(2011) 15 pages.
[15] Alkhazaleh, S., and Salleh, A. R. (2014). Fuzzy soft expert set and its application. Applied Mathematics,2014.
[16] M. Shakhatreh, T. Qawasmeh, “Associavity of Max-Min Composition of Three Fuzzy Relations”. Italian Journal of Pure and Applied Mathematics, 2020, N. 44,224—228, 2020.1212(1), 012019. DOI:10.1088/1742-6596/1212/1/012019.
[17] Al-Qudah, Y.; Hassan, N. Mapping on complex multi-fuzzy soft expert classes. J. Phys. Conf. Ser. 2019,
[18] Al-Quran A, Al-Sharqi F, Rahman A U, Rodzi Z M. The q-rung orthopair fuzzy-valued neutrosophic sets: Axiomatic properties, aggregation operators and applications. AIMS Mathematics. 2024;9(2):5038-5070.
[19] M. Shakhatreh, T. Qawasmeh, “General Method to Generate Fuzzy Equivalence Relations in Matrix Form”, Jordan Journal of Mathematics and statistics, 13(3),401—420,
[20] N. C¸ aˇgman and F. Citak and S. Enginoglu, Fuzzy parameterized fuzzy soft set theory and its applications, Turkish Journal of Fuzzy Systems 1(1)(2010) 21—35.
[21] Al-Qudah, Y., Jaradat, A., Sharma, S.K., Bhat, V.K. Mathematical analysis of the structure of one- heptagonal carbon nanocone in terms of its basis and dimension. Physica Scripta, 2024, 99(5), 055252
[22] Wang, Y., and Laird, J. E. (2007). The importance of action history in decision making and reinforcement learning. In Proceedings of the eighth international conference on cognitive modeling.
[23] Alqaraleh, S. M., Abd Ulazeez, M. J. S., Massa’deh, M. O., Talafha, A. G., and Bataihah, A. (2022). Bipolar complex fuzzy soft sets and their application. International Journal of Fuzzy System Applications (IJFSA), 11(1), 1-23.
[24] Ismail, J. N., Rodzi, Z., Hashim, H., Sulaiman, N. H., Al-Sharqi, F., Al-Quran, A., & Ahmad, A. G. Enhancing Decision Accuracy in DEMATEL using Bonferroni Mean Aggregation under Pythagorean Neutrosophic Environment. Journal of Fuzzy Extension & Applications (JFEA), 4(4), 281 - 298, 2023.
