This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
1. Introduction
Real-life problems in many fields, such as medical sciences, logic, control engineering, and economics, include uncertainty. In recent years, scientists have recognized these problems and developed practical mathematical tools, such as fuzzy sets [1], rough sets [2], and soft sets [3], to struggle with these problems. Molodtsov [3] introduced soft sets, and Maji et al. described their operations in [4]. Ali et al. [5, 6] subsequently characterized new operations using soft sets. Since then, many authors have applied this unique and highly useful tool to various fields. Çağman and Enginoğlu [7] applied soft sets to a decision-making methods using this new concept. Following this work, many algebraic structures were defined, the most notable being the soft group, introduced by Aktaş and Çağman [8]. In addition, the soft ring was explored by Acar et al. [9]. Bera et al. [10] studied the soft congruence relation over a lattice. Later, a new perspective on the soft group was provided by Çağman et al.’s description of the soft int-group [11]. Ullah et al. [12] studied the soft uni-AG-group and investigated its properties. Karaaslan et al. [13] described the bipolar soft group and examined its features. Karaaslan et al. [14] introduced the normal bipolar soft subgroup and discussed its properties. In [15], soft int-ring/int-ideal was presented, and Çıtak and Çağman investigated their algebraic properties. Ghosh et al. [16] explored the soft prime int-ideal and the soft radical, addressing their basic properties. Ameen et al. [17] examined the relationship between ordinary and soft algebras. Al-Shami et al. [18] studied the connection between ordinary and soft -algebras. Many scientists have continued to implement their findings in this area [19–23]. Given the functionality of this concept, there have been numerous developments in topology. Çağman et al. [24] described soft topology and investigated its properties. Georgiou and Megaritis [25] introduced new notions in soft topology, such as soft closure, soft boundary, and soft homeomorphism, and examined their properties. Mondal et al. [26] studied Tietze’s extension theorem and Urysohn’s lemma in soft topology. Furthermore, Memiş et al. [27] proposed a new approach to fuzzy soft decision-making using FPFS-kNN. Dalkılıç and Demirtaş [28] examined the management of the decision-making process regarding the uncertainty problems that arose during the COVID-19 pandemic. In addition, they [29] established a relation between the inoculation commitment and COVID-19, supporting their findings with similar relational measures. Parmaksız et al. [30] investigated treatment and planning during COVID-19 using fuzzy parameterized fuzzy soft matrices.
Ideals are significant tools in ring theory because the more we understand about an ideal of a ring , the more we understand about the structure of . One of the most essential types of ideals is the prime ideal. Yassine et al. [31] developed 1-absorbing prime ideals and investigated their algebraic features. Koç et al. [32] analyzed some properties by defining a weakly 1-absorbing prime ideal. Groenewald [33, 34] studied relationships between 1-absorbing prime ideals/submodules and weakly 1-absorbing prime ideals/submodules in noncommutative rings. In recent years, the research on the 1-absorbing prime ideal has become increasingly prominent [35–38].
Algebraic structures are widely used and have a significant impact on many areas of mathematics, including theoretical physics, computer science, control engineering, information sciences, coding theory, topological spaces, and more. On the other hand, soft sets play an essential role in solving problems involving uncertainty. Many studies on soft sets have been conducted in areas such as decision-making, engineering, topology, algebra, and others. After the introduction of soft sets, they attracted significant attention from researchers studying algebraic structures. The behavior of soft sets in algebraic structures has become a topic of considerable curiosity and has begun to be actively investigated. Moreover, ideals are a fundamental tool in ring theory, and the prime ideal is particularly important. A review of the literature reveals that the subalgebraic structures of soft algebraic structures have not received sufficient attention, which represents a significant gap in the field. It is believed that many structures in this area remain to be explored.
The motivation for writing this paper is primarily to examine the behavior of the prime ideals, which hold an important place in the theory of rings on soft sets. Secondly, the paper aims to present a new framework for generating soft algebraic concepts, such as the soft radical and soft nilpotent elements, which were obtained in this study. In addition, the soft prime int-ideal is generalized to the soft near-prime int-ideal and the soft 1-absorbing prime int-ideal. Thus, the study is made unique by elevating the identity to the soft prime ideal. By exploring the subalgebraic structures of the ring through the specific properties of the new soft algebraic structures defined here, it is clearly demonstrated that the permeability between the soft and classical algebraic structures is very strong. Another motivation for this study is to develop new perspectives through generalizations of the soft prime int-ideal, which is crucial for rings, and to clarify the relationships between these new concepts and their classical counterparts. This study aims to contribute to the literature by obtaining two different generalizations of the soft prime int-ideal and exploring the relationships between the soft prime int-ideal and ring substructures. Unlike previous studies, the characteristic features of the ring are frequently used in this work, which is another unique aspect of our study. Throughout the paper, we aimed to demonstrate that the relationship between the ring and soft algebraic structures is close. These new soft ideal types and soft algebraic structures can be applied in future studies.
In Section 2, we included basic definitions and theorems. In Section 3, we introduced new concepts such as soft nilpotent elements, soft idempotent elements, soft zero divisors, nonexplicit soft int-ideals, and one-to-one soft sets. We also investigated their characterizations of soft prime int-ideals and their effects on ring . In Section 4, we first defined and discussed the soft near-prime int-ideal, a generalization of the soft prime int-ideal, with the help of soft radicals. In addition, we demonstrated that a soft prime int-ideal is also a soft near-prime int-ideal. By providing a counterexample, we showed that a soft near-prime int-ideal does not have to be a soft prime int-ideal. We proved that if is a commutative ring, the ’s soft radical is a soft prime int-ideal, which is one of the most significant properties of the soft near-prime int-ideal . In Section 5, we defined another generalization of the soft prime int-ideal, namely, the soft 1-absorbing prime int-ideal. We confirm that the soft prime int-ideal is also a soft 1-absorbing prime int-ideal. However, we showed using a counterexample that the converse is not valid. At the same time, we showed that if is a commutative ring, then the radical of a soft 1-absorbing prime int-ideal is a soft prime int-ideal. We also discussed the behavior of soft nilpotent elements, soft zero divisors, and one-to-one soft sets on this soft ideal. We studied that another important feature of a soft 1-absorbing prime int-ideal is that if there is a soft 1-absorbing prime int-ideal and is an ideal of , then there exist a soft 1-absorbing prime int-ideal of with the same features as .
2. Preliminaries
This section provides some basic notions that will be required in the following sections. Throughout this paper, let be a universal set, be a set of parameters, , and be the power set of .
Definition 1.
(see [3]). Let be a function. An order pair is called a soft set of where for .
Throughout this study, the set of all soft sets will be symbolized by S.
Definition 2.
(see [7]). Let . The soft set is called a soft subset of if for all , and it is symbolized by .
Definition 3.
(see [11]). Let be a function and . The soft set is called a soft image of under wherefor all . The soft set is called a soft preimage of under where for all .
The definitions of soft int-group, soft int-ring, and soft int-ideal are described below.
Definition 4.
(see [11]). Let be a group and . The soft set is called a soft intersection group (or shortly soft int-group) if and for all .
Definition 5.
(see [15]). Let be a ring and . The soft set is called a soft intersection ring (or shortly soft int-ring) if , , and for all .
Definition 6.
(see [15]) Let be a soft int-ring. The soft int-ring is called a soft right int-ideal if for all , and is called a soft left int-ideal if for all . In addition, is called a soft int-ideal of if is both the soft right int-ideal and soft left int-ideal.
We proposed the following theorems for use in the main results.
Theorem 1 (see [15]).
Let be a ring and . The soft set is a soft int-ideal iff
1.
2.
for all .
Theorem 2 (see [15]).
Let be a soft int-ring/int-ideal. For all , .
Theorem 3 (see [15]).
Let be onto-ring homomorphism and be a soft int-ideal. The soft sets and are soft int-ideals.
Theorem 4 (see [15]).
Let be a unitary ring. For all , if is a soft int-ideal.
Theorem 5 (see [15]).
Let be a division ring. For all , if is a soft int-ideal.
The definition of an image is as follows:
Definition 7 (see [16]).
Let . An image of is symbolized by and described by .
Ghosh et al. [16] defined the soft int-ideal’s soft radical as follows.
Definition 8.
Let be a soft int-ideal such that and inclusion ideals of for . The soft set is called a soft radical of such thati.e., the union is taken over all those such that and , , , are the radicals of , respectively.
Theorem 6 (see [16]).
Let be a ring, be a soft int-ideal, and be a soft radical of . Then,for all .
The following basic properties of soft radicals will be useful in subsequent results.
Theorem 7 (see [16]).
Let be a ring, be a soft int-ideal, and be a soft radical of . Thus, the following hold:
1.
2. is a soft int-ideal and
3.
4. for arbitrary and for arbitrary
5. There exists some where for arbitrary
Definition 9.
(see [16]). Let be a soft int-ideal. is called a soft prime int-ideal if either or for all .
Theorem 8 (see [16]).
Let be a soft int-ideal. Then, is a soft prime int-ideal iff for all .
Definition 10 (see [31]).
Let be a unitary ring and be a proper ideal of . is called a 1-absorbing prime ideal of , if for all irreversible elements, such that , then either or .
Theorem 9 (see [31]).
Let be a unitary and commutative ring, be a 1-absorbing prime ideal of , and . Then, for all and .
3. Soft Prime Int-Ideals
This section investigates some algebraic properties of the soft prime int-ideal and explores its features. Throughout this section, let be a ring. In addition, the zero of is denoted by 0, and the unit of is denoted by 1. Lastly, the suffix “int” will no longer be used in this section.
Definition 11.
Let be a soft set and . Then, is a soft ideal if for all . These kinds of soft ideals are also soft prime ideals. Such ideals are called explicit soft ideals. Otherwise, all these kinds of ideals are called nonexplicit soft ideals.
Example 1.
Let and . Let the fuction be defined such that . is an explicit soft ideal becauseandfor all . Eventually, is a soft prime ideal.
Definition 12.
Let be a nonexplicit soft ideal. is called the ’s soft nilpotent element, if there is an such thatand it is indicated by . In other words,
Example 2.
Let and the binary operations of “” and “” described on be as follows:
Obviously, is a ring. Let the function be defined as follows: is a nonexplicit soft ideal because
•
•
•
•
•
•
•
•
•
•
Similarly, we can see that other conditions are satisfied. Thus, is a nonexplicit soft ideal. Now, we determine the soft nilpotent element of :
•
•
•
•
In conclusion,
Theorem 10.
Let be a nonexplicit soft prime ideal. If , then .
Proof 1.
Let . In this case, there is an such that . The following is obtained:
The converse of this theorem is not always valid. To prove this, we give a counterexample.
Example 3.
Let and . Thus, is a nonexplicit soft prime ideal and , but .
Definition 13.
Let be a nonexplicit soft ideal. is called a soft idempotent element of if , and it is shown that . In other words,
Example 4.
Let and . Let be defined as follows:
Clearly, is a nonexplicit soft ideal. Now, we determine soft idempotent elements of :
• is a soft idempotent element of
• is a soft idempotent element of
• is not a soft idempotent element of
• is a soft idempotent element of
Theorem 11.
Let be a nonexplicit soft prime ideal. Then, .
Proof 2.
By Theorem 8, for all . It is easy to see that this equation is valid for . Thus, Ide .
Definition 14.
Let be a soft ideal and . and are called soft zero divisors of if there is an such that and . A soft set of all soft zero divisors of are shown as .
Example 5.
Let and the binary operations of “+” and “” described on be as follows:
It is obvious that is a ring. Let function be defined as follows:
It is easy to observe that is a soft ideal. Furthermore, since , then and are soft zero divisors of .
Definition 15.
Let . is called a one-to-one soft set, if implies for .
Example 6.
Let and the binary operations of “+” and “⋅” described on be as follows:
It is observed that is a ring. Let be defined as follows:
It is obvious that is a one-to-one soft ideal.
Theorem 12.
Let be a one-to-one soft prime ideal. If is a zero divisor of , then .
Proof 3.
Let be a zero divisor of ring . In that case, there is such that and . In this situation,
Theorem 13.
Let be a one-to-one soft prime ideal. Then, Nil .
Proof 4.
Let Nil . In this situation, there is such that . Since is a one-to-one soft prime ideal,
Theorem 14.
Let be a one-to-one soft prime ideal. Then, Nil .
Proof 5.
Let . Then, . Since is a one-to-one soft prime ideal,
Theorem 15.
Let be a soft prime ideal, and
Then, is a prime ideal of .
Proof 6.
It is easy to observe that and . Let . There are such that and . Under these situations,
Since , then .
Let . Then, . Similarly, it is shown that .
Let such that . Hence, there is such that . Let .
Since , then .
Similarly, it is shown that if and , then . Eventually, is a prime ideal of .
Proposition 1.
Let be a soft prime ideal and be a subgroup of . Then,
1. is an ideal of , if for all
2. is a prime ideal of , if for all
Proof 7.
For all and ,
•
• and similarly,
As a result, is an ideal of .
•
• and similarly, .
• Let such that and . Since , . Because of and , has to be an element of .
Consequently, is a prime ideal of .
Proposition 2.
Let be a soft ideal and . Then, for .
Proof 8.
Since , there is an such that and . From here, it is observed that
4. Soft Near-Prime Int-Ideals and Its Some Algebraic Properties
This section investigates a generalization of soft prime int-ideals, which we call soft near-prime int-ideals. Lastly, the suffix “int” will no longer be used in this section.
Definition 16.
Let be a nonunitary ring and be a soft ideal. is called a soft near-prime ideal if for all .
Example 7.
Let and the binary operations “+” and “⋅” be defined as follows:
Based on these binary operations, is a nonunitary ring.
Let and . It is easy to see that is a soft ideal. Furthermore, and . Since and . For this reason, we obtain that . Hence, is a soft near-prime ideal.
Theorem 16.
Let be a soft near-prime ideal. Then, the following equalities are satisfied:for all .
Proof 9.
Since for all , we obtainand
Finally, it is easy to see that for all ,
Moreover, we obtain . Hence, the proof is completed.
Theorem 17.
Every soft prime ideal is a soft near-prime ideal.
Proof 10.
Let be a soft prime ideal. For all , and . Hence,
Then, is a soft near-prime ideal.
The converse of this theorem is not always valid. To prove this, we gave a counterexample.
Example 8.
Consider the soft near-prime ideal in Example 7. is a soft near-prime ideal, but is not a soft prime ideal because
Theorem 18.
Let be a nonunitary and commutative ring and be a soft near-prime ideal. The soft radical of is a soft prime ideal.
Proof 11.
From Theorem 16, we have for all . Then, it is easy to see that
Therefore, is a soft prime ideal.
Theorem 19.
Let and be nonunitary rings, be an onto-ring homomorphism, and be a soft near-prime ideal. Then, is a soft near-prime ideal.
Proof 12.
By Theorem 3, we know that is a soft ideal. Therefore, we only prove the near-primality of . For all ,
Hence, is a soft near-prime ideal.
Theorem 20.
Let and be nonunitary rings, be a ring homomorphism, and be a soft near-prime ideal. Then, is a soft near-prime ideal.
Proof 13.
By Theorem 3, we know that is a soft ideal. Therefore, we only proved the near-primality of . For all ,
The proof is completed.
5. Soft 1-Absorbing Prime Int-Ideal and Its Some Algebraic Features
This section explores another generalization of soft prime int-ideals, which we call soft 1-absorbing prime int-ideals. Lastly, the suffix “int” will no longer be used in this section.
Definition 17.
Let be a nonunitary ring and be a soft ideal. is called a soft 1-absorbing prime ideal, if for all .
Theorem 21.
Let be a soft 1-absorbing prime ideal. The following equalities are satisfied:for all and .
Proof 14.
We use the inductive method. Since be a soft 1-absorbing prime ideal, we obtain for . Assume that for all . In this situation,and
Theorem 22.
Let be a nonunitary and commutative ring and be a soft 1-absorbing prime ideal. is a soft prime ideal.
Proof 15.
From the previous theorem, it is obtained thatfor all .
Theorem 23.
Every soft prime ideal is a soft 1-absorbing prime ideal.
Proof 16.
Let be a nonunitary ring and be a soft prime ideal. Then, for all . Since for all , then is a soft 1-absorbing prime ideal.
The converse of this theorem is not always valid. To prove this, we give a counterexample.
Example 9.
Let and the binary operations “+” and “⋅” over be defined as in the tables below.
From these tables, is a nonunitary ring. Define the function as follows:
is a soft 1-absorbing prime ideal, as following conditions are satisfied:
•
•
•
•
•
•
•
•
•
Since , is not a soft prime ideal.
Proposition 3.
Let be a nonunitary and commutative ring, and let have at least one nonzero nilpotent element. , if for all , and is a one-to-one soft -absorbing prime ideal.
Proof 17.
Let Nil . Then, for some . We see that for all . Since is a one to one soft 1-absorbing prime ideal, and . Hence,
Proposition 4.
Let be a nonunitary and commutative ring, and be a one-to-one soft 1-absorbing prime ideal that is not a soft prime ideal. , if and , for all .
Proof 18.
Since , and is not a soft prime ideal, we obtain that . For all ,
Proposition 5.
Let be a nonunitary and commutative ring, and . is an ideal of if is a soft 1-absorbing prime ideal.
Proof 19.
It is obvious that and . Let . Then, for some . It is observed that
Thus,
For all ,
Since is a commutative ring, we obtain . As a result, is an ideal of .
Proposition 6.
Let be a commutative ring, for all , and
If is a soft 1-absorbing prime ideal, then is an ideal of .
Proof 20.
Since is a soft 1-absorbing prime ideal, for all . It is obvious that and . Let . Then, . Moreover,
Again, since is a soft 1-absorbing prime ideal, we obtainfor all . Since is a commutative ring, . As a result, is an ideal of .
Proposition 7.
Let be a nonunitary and commutative ring, be an ideal of , and be a soft 1-absorbing prime ideal. If for all and for all , then .
Proof 21.
Since is an ideal of , for all . Hence, . Since a soft 1-absorbing prime ideal,
Proposition 8.
Let be a nonunitary ring and be a soft 1-absorbing prime ideal. Let be an ideal of such that either or when for . If for all , then for all .
Proof 22.
Let . Due to the property of , . From the definition of , we obtain . Since is a soft 1-absorbing prime ideal, it is observed that . Finally, .
Theorem 24.
Let and be nonunitary rings, be an onto ring homomorphism, and be a soft 1-absorbing prime ideal. The soft set is a soft 1-absorbing prime ideal.
Proof 23.
By Theorem 3, we know that is a soft ideal. It is needed to show the soft 1-absorbing primality of . For all ,
The proof is completed.
Theorem 25.
Let and be nonunitary rings, be a ring homomorphism, and be a soft 1-absorbing prime ideal of . The soft set is a soft 1-absorbing prime ideal.
Proof 24.
By Theorem 3, we know that is a soft ideal. It is needed to show the soft 1-absorbing primality of . For all ,
The proof is completed.
Theorem 26.
Let be an ideal of and be a soft 1-absorbing prime ideal. There is a soft ideal of , which has the same properties of . The radicals are equal to each other.
Proof 25.
Let be a soft ideal of and for all . Since is a soft 1-absorbing prime ideal, thenandfor all . Here, is a soft 1-absorbing prime ideal. We prove the 1-absorbing primality of ,for all . It is gained that if is a soft prime or soft near-prime ideal, then is a soft prime ideal or soft near-prime ideal. Lastly, we prove that . Thus,for all .
6. Aim and Contribution
The main contributions of this article are as follows:
• The concepts of soft nilpotents, soft idempotents, and soft zero divisors are defined, and their behaviors on soft prime int-ideals are investigated
• Two different generalizations of soft prime int-ideals are obtained using a unitary ring
• Through the soft algebraic concepts defined in this study, it is emphasized that the relationship between soft algebraic structures and classical algebraic structures is very strong
7. Conclusions
This paper presents the properties of soft prime int-ideal, soft near-prime int-ideal, and soft 1-absorbing prime int-ideal. First, we demonstrated that soft prime int-ideals and prime ideals can be related. Then, we examined soft near-prime int-ideal and soft 1-absorbing prime int-ideals as generalizations of soft prime int-ideals. Furthermore, we showed that if is a commutative ring and is a soft near-prime int-ideal, then is a soft prime int-ideal. Finally, we verified that the properties of soft prime int-ideals and soft near-prime int-ideals are preserved under ring homomorphisms. In the future, new types of soft int-ideals, such as soft primary int-ideals, soft 1-absorbing primary int-ideals, soft 2-absorbing int-ideals, and soft 2-absorbing primary int-ideals, could be defined. The relationships between these new ideals can be explored, and their algebraic features can be studied. In addition, a weakly soft 1-absorbing prime int-ideal can be defined by modifying the definition of soft 1-absorbing prime int-ideals to require , and its algebraic properties can be investigated.
Funding
This work received no external funding.
References
[1] L. A. Zadeh, "Fuzzy Sets," Information and Control, vol. 8 no. 3, pp. 338-353, DOI: 10.1016/s0019-9958(65)90241-x, 1965.
[2] Z. Pawlak, "Rough Sets," International Journal of Computer & Information Sciences, vol. 11 no. 5, pp. 341-356, DOI: 10.1007/bf01001956, 1982.
[3] D. A. Molodtsov, "Soft Set Theory-First Results," Computers & Mathematics with Applications, vol. 37 no. 4-5, pp. 19-31, DOI: 10.1016/s0898-1221(99)00056-5, 1999.
[4] P. K. Maji, R. Biswas, A. R. Roy, "Soft Set Theory," Computers & Mathematics with Applications, vol. 45 no. 4-5, pp. 555-562, DOI: 10.1016/s0898-1221(03)00016-6, 2003.
[5] M. I. Ali, M. Shabir, M. Naz, "Algebraic Structures of Soft Sets Associated with New Operations," Computers & Mathematics with Applications, vol. 61 no. 9, pp. 2647-2654, DOI: 10.1016/j.camwa.2011.03.011, 2011.
[6] M. I. Ali, F. Feng, X. Liu, W. K. Min, M. Shabir, "On Some New Operations in Soft Set Theory," Computers & Mathematics with Applications, vol. 57 no. 9, pp. 1547-1553, DOI: 10.1016/j.camwa.2008.11.009, 2009.
[7] N. Çağman, S. Enginoğlu, "Soft Set Theory and Uni–Int Decision Making," European Journal of Operational Research, vol. 207 no. 2, pp. 848-855, DOI: 10.1016/j.ejor.2010.05.004, 2010.
[8] H. Aktaş, N. Çağman, "Soft Sets, and Soft Groups," Information Sciences, vol. 177 no. 13, pp. 2726-2735, DOI: 10.1016/j.ins.2006.12.008, 2007.
[9] U. Acar, F. Koyuncu, B. Tanay, "Soft Sets and Soft Rings," Computers & Mathematics with Applications, vol. 59 no. 11, pp. 3458-3463, DOI: 10.1016/j.camwa.2010.03.034, 2010.
[10] S. Bera, S. K. Roy, F. Karaaslan, N. Cagman, "Soft Congruence Relation over Lattice," Hacettepe Journal of Mathematics and Statistics, vol. 3 no. 46, pp. 1035-1042, DOI: 10.15672/hjms.2017.436, 2017.
[11] N. Çağman, F. Çıtak, H. Aktaş, "Soft Int-Group and its Applications to Group Theory," Neural Computing & Applications, vol. 21 no. S1, pp. 151-158, DOI: 10.1007/s00521-011-0752-x, 2012.
[12] A. Ullah, F. Karaaslan, I. Ahmad, "Soft Uni-Abel-Grassmann’s Groups," European Journal of Pure and Applied Mathematics, vol. 11 no. 2, pp. 517-536, DOI: 10.29020/nybg.ejpam.v11i2.3228, 2018.
[13] F. Karaaslan, I. Ahmad, A. Ullah, "Bipolar Soft Groups," Journal of Intelligent and Fuzzy Systems, vol. 31 no. 1, pp. 651-662, DOI: 10.3233/ifs-162178, 2016.
[14] F. Karaaslan, A. Ullah, I. Ahmad, "Normal Bipolar Soft Subgroups," Fuzzy Information and Engineering, vol. 13 no. 1, pp. 79-98, DOI: 10.1080/16168658.2021.1915453, 2021.
[15] F. Çıtak, N. Çağman, "Soft Int-Rings, and its Algebraic Applications," Journal of Intelligent and Fuzzy Systems, vol. 28 no. 3, pp. 1225-1233, DOI: 10.3233/ifs-141406, 2015.
[16] J. Ghosh, D. Mandal, T. Kumar Samanta, "Soft Prime and Semiprime Int-Ideals of a Ring," AIMS Mathematics, vol. 5 no. 1, pp. 732-745, DOI: 10.3934/math.2020050, 2020.
[17] Z. Ameen, T. Al-shami, R. Abu-Gdairi, A. Mhemdi, "The Relationship between Ordinary and Soft Algebras with an Application," Mathematics, vol. 11 no. 9,DOI: 10.3390/math11092035, 2023.
[18] T. Al-Shami, Z. Ameen, A. Mhemdi, "The Connection between Ordinary and Soft σ -algebras with Applications to Information Structures," AIMS Mathematics, vol. 8 no. 6, pp. 14850-14866, DOI: 10.3934/math.2023759, 2023.
[19] C. Jana, M. Pal, F. Karaaslan, A. Sezgin, "℧,β-(α,β)-Soft Intersectional Rings and Ideals with Their Applications," New Mathematics and Natural Computation, vol. 15 no. 02, pp. 333-350, DOI: 10.1142/s1793005719500182, 2019.
[20] A. Sezgin, N. Çağman, F. Çıtak, "α-Inclusions Applied to Group Theory via Soft Set and Logic Inclusions Applied to Group Theory via Soft Set and Logic," Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, vol. 68 no. 1, pp. 334-352, DOI: 10.31801/cfsuasmas.420457, 2018.
[21] X. Zhang, S. Aljahdali, A. M. Khalil, "On Soft Quantum B-Algebras and Fuzzy Soft Quantum B-Algebras," Journal of Mathematics, vol. 2021,DOI: 10.1155/2021/3071765, 2021.
[22] S. Ayub, M. Shabir, W. Mahmood, "New Types of Soft Rough Sets in Groups Based on Normal Soft Groups," Computational and Applied Mathematics, vol. 39 no. 2,DOI: 10.1007/s40314-020-1098-8, 2020.
[23] G. Muhiuddin, A. Mahboob, "Int-soft Ideals over the Soft Sets in Ordered Semigroups," AIMS Mathematics, vol. 5 no. 3, pp. 2412-2423, DOI: 10.3934/math.2020159, 2020.
[24] N. Çağman, S. Karataş, S. Enginoğlu, "Soft Topology," Computers & Mathematics with Applications, vol. 62 no. 1, pp. 351-358, DOI: 10.1016/j.camwa.2011.05.016, 2011.
[25] D. N. Georgiou, A. C. Megaritis, "Soft Set Theory and Topology," Applied General Topology, vol. 15 no. 1, pp. 93-109, DOI: 10.4995/agt.2014.2268, 2014.
[26] S. Mondal, M. Chiney, S. K. Samanta, "Urysohn’s Lemma and Tietze’s Extension Theorem in Soft Topology Annals Of Fuzzy Mathematics and Informatics," vol. no. 6, pp. 883-894, 2015.
[27] S. Memiş, S. Enginoğlu, U. Erkan, "Fuzzy Parameterized Fuzzy Soft K-Nearest Neighbor Classifier," Neurocomputing, vol. 500, pp. 351-378, DOI: 10.1016/j.neucom.2022.05.041, 2022.
[28] O. Dalkılıç, N. Demirtaş, "Algorithms for Covid-19 Outbreak Using Soft Set Theory: Estimation and Application," Soft Computing, vol. 27 no. 6, pp. 3203-3211, DOI: 10.1007/s00500-022-07519-5, 2023.
[29] O. Dalkılıç, N. Demirtaş, "A Mathematical Analysis of the Relationship between the Vaccination Rate and COVID-19 Pandemic in Turkey," Turkish Journal of Forecasting, vol. 6 no. 1, 2022.
[30] Z. P. Parmaksız, B. Arslan, S. Memiş, S. Enginoğlu, "Diagnosing COVID-19, Prioritizing Treatment, and Planning Vaccination Priority via Fuzzy Soft Matrices," Journal of New Theory, vol. 39, pp. 54-83, 2022.
[31] A. Yassine, M. J. Nikmehr, R. Nikandish, "On 1-absorbing Prime Ideals of Commutative Rings," Journal of Algebra and Its Applications, vol. 20 no. 10,DOI: 10.1142/s0219498821501759, 2021.
[32] S. Koç, Ü. Tekir, E. Yıldız, "On Weakly 1-absorbing Prime Ideals," Ricerche di Matematica, vol. 72 no. 2, pp. 723-738, DOI: 10.1007/s11587-020-00550-4, 2023.
[33] N. Groenewald, "1-absorbing Prime Ideals and Weakly 1-absorbing Prime Ideals in Noncommutative Rings," Sao Paulo Journal of Mathematical Sciences, vol. 17 no. 2, pp. 871-887, DOI: 10.1007/s40863-022-00348-2, 2022.
[34] N. Groenewald, "1-absorbing and Weakly 1-absorbing Prime Submodules of a Module over a Noncommutative Ring," Afrika Matematika, vol. 34 no. 3,DOI: 10.1007/s13370-023-01094-0, 2023.
[35] A. Badawi, E. Y. Celikel, "On 1-absorbing Primary Ideals of Commutative Rings," Journal of Algebra and Its Applications, vol. 19 no. 06,DOI: 10.1142/s021949882050111x, 2020.
[36] E. Yıldız, Ü. Tekir, S. Koç, "On ϕ -1-absorbing Prime Ideals," Beitrage zur Algebra und Geometrie, vol. 62 no. 4, pp. 907-918, DOI: 10.1007/s13366-020-00557-w, 2021.
[37] E. M. Bouba, M. Tamekkante, Ü. Tekir, S. Koç, "Notes on 1-absorbing Prime Ideals," Proceedings of the Bulgarian Academy of Sciences, vol. 75 no. 5, pp. 631-639, DOI: 10.7546/crabs.2022.05.01, 2022.
[38] F. Citak, İ.H. Kanat, "Application of Soft Ideals to Two New Types: the Soft Primary Ideal and the Soft 1-absorbing Primary Ideal," Authorea, 2023.