Our main objective of this work was to study rough approximations of spherical fuzzy ideals by using soft relations that are free from all the complexities that are faced by many scientists. Furthermore, lower and upper approximations of spherical fuzzy subsemigroups, spherical fuzzy left (right) ideals, spherical fuzzy interior ideals, and spherical fuzzy bi-ideals of semigroups were studied using soft relations. Mainly, we proved, for a spherical fuzzy ideal of the universe, that upper and lower approximations are spherical fuzzy soft ideals but the converse may not hold, as shown by examples. Compatible relations and complete relations are needed for upper approximations and lower approximations, respectively. Also, using examples, we showed that the conditions of complete relations were necessary for lower approximations. Last, a comparison study and conclusions of the introduced technique are given, demonstrating how our work is superior and efficient in contrast to other techniques.
Citation: Rabia Mazhar, Shahida Bashir, Muhammad Shabir, Mohammed Al-Shamiri. A soft relation approach to approximate the spherical fuzzy ideals of semigroups[J]. AIMS Mathematics, 2025, 10(2): 3734-3758. doi: 10.3934/math.2025173
Our main objective of this work was to study rough approximations of spherical fuzzy ideals by using soft relations that are free from all the complexities that are faced by many scientists. Furthermore, lower and upper approximations of spherical fuzzy subsemigroups, spherical fuzzy left (right) ideals, spherical fuzzy interior ideals, and spherical fuzzy bi-ideals of semigroups were studied using soft relations. Mainly, we proved, for a spherical fuzzy ideal of the universe, that upper and lower approximations are spherical fuzzy soft ideals but the converse may not hold, as shown by examples. Compatible relations and complete relations are needed for upper approximations and lower approximations, respectively. Also, using examples, we showed that the conditions of complete relations were necessary for lower approximations. Last, a comparison study and conclusions of the introduced technique are given, demonstrating how our work is superior and efficient in contrast to other techniques.
[1] | L. A. Zadeh, Fuzzy sets, Inf. control, 8 (1965), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X |
[2] | K. T. Atanassov, S. Stoeva, Intuitionistic fuzzy sets, Fuzzy set. Syst., 20 (1986), 87–96. https://doi.org/10.1016/S0165-0114(86)80034-3 |
[3] |
S. Ashraf, S. Abdullah, Spherical aggregation operators and their application in multiattribute group decision‐making, Int. J. Intell. Syst., 34 (2019), 493–523. https://doi.org/10.1002/int.22062 doi: 10.1002/int.22062
![]() |
[4] | F. Karaaslan, F. Karamaz, Interval-valued (p, q, r)-spherical fuzzy sets and their applications in MCGDM and MCDM based on TOPSIS method and aggregation operators, Expert Syst. Appl., 255 (2024), 124575. https://doi.org/10.1016/j.eswa.2024.124575 |
[5] |
M. Palanikumar, L. Mohan, M. M. Raj, A. Iampan, Real-life applications of new type spherical fuzzy sets and its extension using aggregation operators, Int. J. Anal. Appl., 22 (2024), 131. https://doi.org/10.28924/2291-8639-22-2024-131 doi: 10.28924/2291-8639-22-2024-131
![]() |
[6] |
N. Jan, J. Gwak, D. Pamucar, H. Kang, An integrated complex T-spherical fuzzy set and soft set model for quantum computing and energy resource planning, Inform. Sciences, 661 (2024), 120101. https://doi.org/10.1016/j.ins.2024.120101 doi: 10.1016/j.ins.2024.120101
![]() |
[7] | I. Bechar, R. Bechar, A. Benyettou, A novel score function for spherical fuzzy sets and its application to assignment problem, Econ. Comput. Econ. Cyb., 58 (2024). https://doi.org/10.24818/18423264/58.3.24.13 |
[8] | A. Suschkewitsch, Über die Darstellung der eindeutig nicht umkehrbaren Gruppen mittelst der verallgemeinerten Substitutionen, Matematicheskii Sbornik, 33 (1926), 371–374. |
[9] | D. Molodtsov, Soft set theory—first results, Comput. math. Appl., 37 (1999), 19–31. |
[10] | M. I. Ali, A note on soft sets, rough sets and fuzzy soft sets, Appl. Soft Comput., 11 (2011), 3329–3332. https://doi.org/10.1016/j.asoc.2011.01.003 |
[11] |
N. Cagman, S. Enginoglu, Soft matrix theory and its decision making, Comput. Math. Appl., 59 (2010), 3308–3314. https://doi.org/10.1016/j.camwa.2010.03.015 doi: 10.1016/j.camwa.2010.03.015
![]() |
[12] |
N. Cagman, S. Enginoglu, Soft set theory and uni-int decision making, Eur. J. Oper. Res., 207 (2010), 848–855. https://doi.org/10.1016/j.ejor.2010.05.004 doi: 10.1016/j.ejor.2010.05.004
![]() |
[13] |
N. Rehman, A. Ali, M. I. Ali, C. Park, SDMGRS soft dominance based multi granulation rough sets and their applications in conflict analysis problems, IEEE Access, 2018, 31399–31416. https://doi.org/10.1109/ACCESS.2018.2841876 doi: 10.1109/ACCESS.2018.2841876
![]() |
[14] | Z. Pawlak, Rough sets, Int. J. comput. Inf. Sci., 11 (1982), 341–356. https://doi.org/10.1007/BF01001956 |
[15] | Z. Pawlak, Fuzzy logic for the management of uncertainty: Rough sets: A new approach to vagueness, USA: John Wiley and Sons, Inc., 1992,105–118. |
[16] |
L. Zheng, T. Mahmood, J. Ahmmad, U. U. Rehman, S. Zeng, Spherical fuzzy soft rough average aggregation operators and their applications to multi-criteria decision making, IEEE Access, 10 (2022), 27832–27852. https://doi.org/10.1109/ACCESS.2022.3150858 doi: 10.1109/ACCESS.2022.3150858
![]() |
[17] |
S. Zeng, A. Hussain, T. Mahmood, M. I. Ali, S. Ashraf, M. Munir, Covering-based spherical fuzzy rough set model hybrid with TOPSIS for multi-attribute decision-making, Symmetry, 11 (2019), 547. https://doi.org/10.3390/sym11040547 doi: 10.3390/sym11040547
![]() |
[18] |
S. Ashraf, S. Abdullah, M. Aslam, M. Qiyas, M. A. Kutbi, Spherical fuzzy sets and its representation of spherical fuzzy t-norms and t-conorms, J. Intell. Fuzzy Syst., 36 (2019), 6089–6102. https://doi.org/10.3233/JIFS-181941 doi: 10.3233/JIFS-181941
![]() |
[19] |
P. A. F. Perveen, J. J. Sunil, K. V. Babitha, H. Garg, Spherical fuzzy soft sets and its applications in decision-making problems, J. Intell. Fuzzy Syst., 37 (2019), 8237–8250. https://doi.org/10.3233/JIFS-190728 doi: 10.3233/JIFS-190728
![]() |
[20] | C. Kahraman, F. K. Gündogdu, Decision making with spherical fuzzy sets, Cham: Springer Cham, 392 (2021), 3–25. https://doi.org/10.1007/978-3-030-45461-6_1 |
[21] |
A. B. Azim, A. ALoqaily, A. Ali, S. Ali, N. Mlaiki, F. Hussain, q-Spherical fuzzy rough sets and their usage in multi-attribute decision-making problems, AIMS Math., 8 (2023), 8210–8248. https://doi.org/10.3934/math.2023415 doi: 10.3934/math.2023415
![]() |
[22] |
D. Ajay, G. Selvachandran, J. Aldring, P. H. Thong, L. H. Son, B. C. Cuong, Einstein exponential operation laws of spherical fuzzy sets and aggregation operators in decision making, Multimed. Tools Appl., 82 (2023), 41767–41790. https://doi.org/10.1007/s11042-023-14532-9 doi: 10.1007/s11042-023-14532-9
![]() |
[23] |
R. S. Kanwal, M. Shabir, Rough approximation of a fuzzy set in semigroups based on soft relations, Comput. Appl. Math., 38 (2019), 1–23. https://doi.org/10.1007/s40314-019-0851-3 doi: 10.1007/s40314-019-0851-3
![]() |
[24] |
M. Shabir, A. Mubarak, M. Naz, Rough approximations of bipolar soft sets by soft relations and their application in decision making, J. Intell. Fuzzy Syst., 40 (2021), 11845–11860. https://doi.org/10.3233/JIFS-202958 doi: 10.3233/JIFS-202958
![]() |
[25] |
M. Z. Anwar, S. Bashir, M. Shabir, An efficient model for the approximation of intuitionistic fuzzy sets in terms of soft relations with applications in decision making, Math. Probl. Eng., 2021, 1–19. https://doi.org/10.1155/2021/6238481 doi: 10.1155/2021/6238481
![]() |
[26] |
M. A. Bilal, M. Shabir, Approximations of pythagorean fuzzy sets over dual universes by soft binary relations, J. Intell. Fuzzy Syst., 41 (2021), 2495–2511. https://doi.org/10.3233/JIFS-202725 doi: 10.3233/JIFS-202725
![]() |
[27] |
R. Prasertpong, Roughness of soft sets and fuzzy sets in semigroups based on set-valued picture hesitant fuzzy relations, AIMS Math., 7 (2022), 2891–2928. https://doi.org/10.3934/math.2022160 doi: 10.3934/math.2022160
![]() |
[28] | R. Mazhar, S. Bashir, M. Shabir, Approximations of spherical fuzzy sets by soft relations and its applications in decision making (submitted). |
[29] | V. Chinnadurai, A. Bobin, A. Arulselvam, A study on spherical fuzzy ideals of semigroup, TWMS J. Appl. Eng. Math., (12) 2022, 1202–1212. |
[30] |
M. Akram, S. M. U. Shah, M. M. A. Al-Shamiri, S. A. Edalatpanah, Fractional transportation problem under interval-valued Fermatean fuzzy sets, AIMS Math., 7 (2022), 17327–17348. https://doi.org/10.3934/math.2022954 doi: 10.3934/math.2022954
![]() |