Volume 19 • Issue 1 • PP: 08-28 • 2022
Time Q-Neutrosophic Soft Expert Set
Open Access & Copyright
© 2022 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Abstract
This paper is a combination of time neutrosophic soft sets and Q- neutrosophic soft expert sets. We define the general concept of time Q-neutrosophic soft expert sets and study its properties. Some operations such as complement, union, and intersection are explored. Then a hypothetical application of this concept in the decision-making problem is given.
Keywords
References
[1] Zadeh, L. A. (1965). Information and control. Fuzzy sets, 8 (3), 338-353.
[2] Atanassov, K. T. (1999). Intuitionistic fuzzy sets. In Intuitionistic fuzzy sets (pp. 1-137). Physica, Heidelberg.
[3] Molodtsov, D. (1999). Soft set theory—first results. Computers & mathematics with applications, 37(4-5), 19-31.
[4] Smarandache, F. (1999). A unifying field in logic. neutrosophy: Neutrosophic probability, set, and logic.
[5] Maji, P. K., Biswas, R. K., & Roy, A. (2001). Fuzzy soft sets.
[6] Zou, Y., & Xiao, Z. (2008). Data analysis approaches of soft sets under incomplete information. Knowledge-Based Systems, 21(8), 941-945.
[7] Alkhazaleh, S., Salleh, A. R., & Hassan, N. (2011). Soft multisets theory. Applied Mathematical Sciences, 5(72), 3561-3573.
[8] Alkhazaleh, S., Salleh, A. R., & Hassan, N. (2011). Fuzzy parameterized interval-valued fuzzy soft set. Applied Mathematical Sciences, 5(67), 3335-3346.
[9] Alkhazaleh, S., Salleh, A. R., & Hassan, N. (2011). Possibility of the fuzzy soft set. Advances in Decision Sciences, 2011.
[10] Adam, F., & Hassan, N. (2014). Q-fuzzy soft set. Appl. Math. Sci, 8(174), 8689-8695.
[11] Abu Qamar, M., & Hassan, N. (2019). An approach toward a Q-neutrosophic soft set and its application in decision making. Symmetry, 11(2), 139.
[12] Abu Qamar, M., & Hassan, N. (2018). Entropy, measures of distance and similarity of Q-neutrosophic soft sets and some applications. Entropy, 20(9), 672.
[13] Alkhazaleh, S., & Salleh, A. R. (2011). Soft Expert Sets. Adv. Decis. Sci., 2011, 757868-1.
[14] Alkhazaleh, S., & Salleh, A. R. (2014). Fuzzy soft expert set and its application. Applied Mathematics, 2014.
[15] Maji, P. K. (2013). Neutrosophic soft set. Infinite Study.
[16] Sahin, M., Alkhazaleh, S., & Ulucay, V. (2015). Neutrosophic soft expert sets. Applied mathematics, 6(1), 116.
[17] Uluçay, V., Şahin, M., & Hassan, N. (2018). Generalized neutrosophic soft expert set for multiple-criteria decision-making. Symmetry, 10(10), 437.
[18] Hassan, N., Uluçay, V., & Şahin, M. (2018). Q-neutrosophic soft expert set and its application in decision making. International Journal of Fuzzy System Applications (IJFSA), 7(4), 37-61.
[19] Abu Qamar, M., & Hassan, N. (2018). Generalized Q-neutrosophic soft expert set for decision under uncertainty. Symmetry, 10(11), 621
[20] Katy D. Ahmad , Mikail Bal , Malath Aswad (2021). The Kernel Of Fuzzy and Anti-Fuzzy Groups, Journal of Neutrosophic and Fuzzy Systems, 1(1): 48-54 (Doi : https://doi.org/10.54216/JNFS.010105)
[21] Florentin Smarandache , Said Broumi (2021). Neutro-Intelligent Set is a particular case of the Refined Neutrosophic Set, Journal of Neutrosophic and Fuzzy Systems, 1(1) 1: 34-36 (Doi : https://doi.org/10.54216/JNFS.010103)
[22] Ulucay, V., Sahin, M., & Olgun, N. (2018). Time-neutrosophic soft expert sets and their decision-making problem. Infinite Study.
[23] Smarandache, F. (2018). Extension of the soft set to hypersoft set, and then to pathogenic hypersoft set. Neutrosophic Sets and Systems, 22(1), 168-170.
[24] Saeed, M., Ahsan, M., Siddique, M. K., & Ahmad, M. R. (2020). A study of the fundamentals of hypersoft set theory. Infinite Study.
[25] Saeed, M., Rahman, A. U., Ahsan, M., & Smarandache, F. (2021). An inclusive study on fundamentals of the hypersoft set. Theory and Application of Hypersoft Set, 1.
[26] Debnath, S. (2021). Fuzzy hypersoft sets and their weightage operator for decision making. Journal of fuzzy extension and applications, 2(2), 163-170.
[27] Yolcu, A., & Ozturk, T. Y. (2021). Fuzzy hypersoft sets and their application to decision-making. Theory and application of hypersoft set, 50-64.
[28] Ihsan, M., Rahman, A. U., & Saeed, M. (2021). Fuzzy hypersoft expert set with application in decision making for the best selection of products. Neutrosophic Sets and Systems, 46, 318-335.
[29] Ihsan, M., Saeed, M., & Rahman, A. U. Neutrosophic Hypersoft Expert Set: Theory and Applications.
Cite This Article
Choose your preferred format
Publisher's Note
The statements, opinions, and data presented in this article are solely those of the author(s) and do not necessarily represent those of ASPG, the journal, or its editors. ASPG and the editors disclaim responsibility for any harm arising from the use of any ideas, methods, instructions, or products described in this article, to the fullest extent permitted by applicable law.