Abstract
In recent years, the study of generalized fuzzy structures in algebraic systems has attracted considerable attention due to their ability to represent uncertainty and bipolar information. In this paper, we introduce the notion of cubic bipolar ideals in the framework of Sheffer stroke Hilbert algebras. This concept integrates the descriptive capability of cubic sets with the dual representation of bipolar information, providing a broader perspective for investigating algebraic structures associated with the Sheffer stroke operation. We establish the definition of cubic bipolar ideals and investigate several of their fundamental properties. In particular, the structural behavior of these ideals is examined within Sheffer stroke Hilbert algebras. Furthermore, the preservation of cubic bipolar ideals under algebraic homomorphisms is analyzed through the study of images and preimages. The Cartesian product of cubic bipolar ideals is also discussed, and conditions ensuring the stability of the resulting structures are obtained. The results presented here contribute to the development of fuzzy algebraic theory and extend existing approaches to Sheffer stroke-based algebraic systems.
MSC:
06F35; 03G25; 08A72
1. Introduction
The Sheffer stroke operation, also known as the NAND operation, was introduced by H. M. Sheffer [1] and has since played a significant role in both logic and algebra. Owing to its functional completeness in Boolean logic, the Sheffer stroke provides a powerful tool for constructing and analyzing various algebraic systems. In particular, its integration into Hilbert algebras has led to the development of several generalized structures that enable a deeper investigation of logical operations from an algebraic perspective. Within this framework, the study of ideals has become an important topic due to its relevance in describing internal algebraic behavior and its applications in logic, computation, and information processing.
Bipolar structures constitute another important direction in the study of generalized algebraic models. Such structures typically involve the simultaneous consideration of positive and negative components, reflecting the dual aspects of information and logical interpretation. From an algebraic viewpoint, the interaction of these dual components provides a useful mechanism for examining complex relationships between operations. In particular, the analysis of cubic bipolar configurations offers a richer framework for investigating how these dual aspects interact within algebraic environments.
The importance of the Sheffer stroke stems from its ability to express all classical logical operations within a single connective. Because of this property, it serves as a convenient foundation for constructing diverse algebraic systems. Hilbert algebras, which provide an algebraic representation of implication-based logical systems, form a suitable setting for studying such operations. When the Sheffer stroke is incorporated into these structures, new algebraic behaviors emerge, especially in relation to ideals and their associated properties.
The Sheffer stroke has been investigated in various algebraic and fuzzy environments (see [2,3,4]). In particular, Oner et al. [5] introduced the notion of Sheffer stroke Hilbert algebras and examined several of their fundamental properties. Later, in [6], they studied deductive systems and filters in these algebras, including their fuzzy extensions, and provided a detailed analysis of ideals in Sheffer stroke Hilbert algebras.
The motivation for the present study is to further explore the structural aspects of these algebras and to extend existing results to more generalized frameworks. Although previous studies have examined several properties of Sheffer stroke algebras (see [7,8]) and their possible generalizations (see [9]), the investigation of cubic bipolar structures related to ideals has not yet been sufficiently explored. This observation provides the primary motivation for the work presented in this paper.
In this study, we introduce the notion of cubic bipolar ideals in Sheffer stroke Hilbert algebras and investigate several of their fundamental properties. Furthermore, we examine relationships between cubic bipolar ideals and study the behavior of these structures under algebraic mappings. In particular, the concepts of the images and preimages of cubic bipolar ideals are introduced, and conditions ensuring the preservation of these structures are established. Finally, the Cartesian products of cubic bipolar ideals are considered within product algebras.
A list of acronyms is given in Table 1.
Table 1.
List of acronyms.
2. Preliminaries
In this section, we review fundamental concepts and results regarding Sheffer stroke Hilbert algebras that will be used throughout this paper.
Definition 1
([1]). Let be a groupoid. The binary operation ∣ is called a Sheffer stroke operation on H if, for all , the following identities hold:
- (S1)
- .
- (S2)
- .
- (S3)
- (S4)
To simplify notation, we adopt the convention
Definition 2
([5]). A Sheffer stroke Hilbert algebra (briefly, SSH-algebra) is an algebraic structure
where H is a nonempty set, and ∣ is a Sheffer stroke operation on H such that for all , the following conditions hold:
- 1.
- 2.
- If , then .
Proposition 1
([5]). Let be an SSH-algebra. Then the relation
defines a partial order on H.
Definition 3
([5]). Let be an SSH-algebra. A nonempty subset is called a subalgebra of if
Definition 4
([5]). Let be an SSH-algebra. A nonempty subset is called an ideal of if, for all , the following conditions hold:
- 1.
- .
- 2.
- If and , then .
Theorem 1
([5]). Let and be SSH-algebras. Then the structure
defined by
for all is an SSH-algebra with zero element .
Definition 5
([5]). Let and be SSH-algebras. A mapping is called a homomorphism if
and .
Definition 6
([10]). Let X be a nonempty set. A function
which assigns to each an interval
is called an interval-valued fuzzy set on X. Here, denotes the set of all closed subintervals of .
The functions and are mappings
such that for all .
Definition 7
([11]). Let X be a nonempty set. A cubic set in X is an ordered pair
where is an interval-valued fuzzy set on X, and is a fuzzy set on X.
We now introduce the concept of interval-valued fuzzy sets (IVF-sets). Let denote the set of all closed subintervals of ; that is,
Each element of is called an interval-valued number. For any , we define the relations and the operations ⊼ (minimum) and ⊻ (maximum) as follows:
- if and only if and .
- if and only if and .
- if and only if and .
- .
- .
Let and be elements of . The refined minimum and refined maximum are defined, respectively, by
If for , then the refined supremum and infimum are defined by
Moreover, for and , we write
and similarly define and .
Definition 8
([10]). Let X be a nonempty set. A function
is called an interval-valued fuzzy set on X, where denotes the set of all closed subintervals of .
The functions and are defined by
such that for all .
3. Cubic Bipolar Subalgebra of SSH-Algebras
Throughout this section, X will denote an SSH-algebra unless explicitly stated otherwise. SSH-algebras form an important class of algebraic systems exhibiting remarkable symmetry properties and attracting interest due to their theoretical relevance and possible applications. In this section, we study cubic bipolar subalgebras in the context of SSH-algebras and examine their main structural properties. This investigation contributes to a better understanding of the internal structure of SSH-algebras and may lead to further developments and applications in related algebraic frameworks.
Definition 9.
A CB-set of X is called a cubic bipolar subalgebra (CB-subalgebra) of X if, for all ,
Example 1.
Consider the set , and define a Sheffer stroke operation “” by Table 2.
Table 2.
A Cayley table for the Sheffer stroke “”.
Then X is an SSH-algebra (see [5]).
Define the functions , and on X by
for all .
For and , we have . Then,
- .
- .
- .
- .
Thus, all required conditions are satisfied, and is a CB-subalgebra of X.
Proposition 2.
If is a CB-subalgebra of X, then for all ,
Proof.
For any , we have
□
Definition 10.
Let X be a nonempty set, and let be a CB-set of X. Let be a cubic bipolar number. Then the subset
is called the -level set of , where , and .
Example 2.
Consider the SSH-algebra X from Example 1. Let be a CB-set of X, where
for all .
Let and . Then the -level set is
For , we have
Thus, , , , and , so satisfies all conditions.
For , we have
Again, all required conditions are satisfied, so belongs to the level set.
Therefore,
Theorem 2.
Let be a CB-set of X, and let be any cubic bipolar number. Then is a CB-subalgebra of X if and only if the level set is a subalgebra of X, provided that .
Proof.
Suppose that is a CB-subalgebra of X and that . Let and .
Take any . Then
and similarly for .
Since is a CB-subalgebra of X, we have
Thus, , showing that is closed under the operation. Hence it is a subalgebra of X.
Conversely, assume that is a subalgebra of X. We prove that is a CB-subalgebra by contradiction.
Suppose that
does not hold. Then there exist such that
Let
Then
Choose an interval
Then
Hence , but , contradicting the assumption that it is a subalgebra.
Similarly, if any of
fails, then by constructing appropriate intermediate values (as above), we obtain elements in whose operation does not remain in the set, again leading to a contradiction.
Therefore, all defining conditions hold, and is a CB-subalgebra of X. □
The next result shows that a cubic bipolar set is a subalgebra if and only if its components satisfy the corresponding fuzzy subalgebra conditions.
Theorem 3.
Let be a CB-set of X. Then is a CB-subalgebra of X if and only if is a BIVF-subalgebra and is a BF-subalgebra of X.
Proof.
Suppose that is a CB-subalgebra of X. Let . Then
and
Thus, the components satisfy
Similarly, from the definition of CB-subalgebra, we obtain
Hence, is a BIVF-subalgebra and is a BF-subalgebra of X.
Conversely, assume that is a BIVF-subalgebra and is a BF-subalgebra of X. Let . Then
Similarly,
Therefore, is a CB-subalgebra of X. □
Definition 11.
Here,
where
and
for all .
Let and be two SSH-algebras, and let and be CB-subsets of X and Y, respectively.
- (i)
- The image of under , denoted by , is a CB-set in Y defined as follows: for each ,
- (ii)
- The preimage of under , denoted by , is a CB-set in X defined by
To improve readability in the context of Sheffer stroke Hilbert algebras, we adopt the following notation:
and
Theorem 4.
Let be a homomorphism of SSH-algebras. If is a CB-ideal of Y, then the preimage is a CB-ideal of X.
Proof.
Suppose that is a CB-ideal of Y. Then is a BIVF-ideal and is a BF-ideal of Y.
For all , we have
Let . Using the fact that is a homomorphism, we obtain
Then
Therefore, satisfies all the conditions of a CB-ideal of X. □
Theorem 5.
Let be a homomorphism of SSH-algebras. If is a CB-subalgebra of Y, then the preimage is a CB-subalgebra of X.
Proof.
Suppose that is a CB-subalgebra of Y. Then is a BIVF-subalgebra and is a BF-subalgebra of Y.
Let . Since is a homomorphism, we have
Now,
Therefore, is a CB-subalgebra of X. □
4. Cubic Bipolar Ideals of SSH-Algebra
In this section, we study cubic bipolar ideals in the framework of Sheffer stroke Hilbert algebras. A cubic bipolar ideal is a special type of CB-set satisfying certain inequalities related to the operations of a Sheffer stroke algebra. These structures play an important role in understanding the algebraic properties of SSH-algebras, particularly in connection with logical operations and their algebraic interpretations.
Definition 12.
A CB-set of X is called a cubic bipolar ideal (CB-ideal) of X if it satisfies the following conditions:
Example 3.
Consider the SSH-algebra X in Example 1. Let be a CB-set of X, where the functions are defined by
We check whether A satisfies the conditions of a CB-ideal.
Lemma 1.
If is a CB-ideal of X, then for all ,
Proof.
Let such that . Then , and hence
□
The following theorem demonstrates that every cubic bipolar ideal inherently possesses the structure of a cubic bipolar subalgebra.
Theorem 6.
Every CB-ideal of X is a CB-subalgebra of X.
Proof.
Let be a CB-ideal of X.
Hence A is a CB-subalgebra of X. □
The following example shows that the converse of Theorem 6 does not hold in general.
Example 4.
Let be the SSH-algebra defined in Example 1 with the operation | given by Table 2.
Define a cubic bipolar set on X as follows:
Then, for all , one can verify that
and hence A is a CB-subalgebra of X.
However, A is not a CB-ideal of X. Indeed, take and . Then
and
Thus, the required dominance condition for CB-ideals is not satisfied.
Hence, A is a CB-subalgebra but not a CB-ideal of X. Therefore, the converse of Theorem 6 does not hold.
Theorem 7.
Let be any cubic bipolar number and be a CB-set of X. Then is a CB-ideal of X if and only if is an ideal of X, where .
Proof.
Suppose is a CB-ideal of X and . Let , and let and . Then
Since is a cubic bipolar ideal of X,
Hence . For any . Then
Since is a CB-ideal of X,
Hence . Therefore, is a CB-ideal of X.
Conversely, suppose is an ideal of X. We prove that satisfies the conditions of Definition 12. Assume that is not true. Then there exists such that . Let , where . Then clearly, . Let . Then we can easily obtain the following inequalities:
Thus . Hence . Assume that is not true. Then there exists such that . Let , where . Then clearly, . Let . Then we can easily obtain the following inequalities:
Thus . Hence . Assume that is not true. Then there exists such that . Let , where . Then clearly, . Let . Then we can easily obtain the following inequalities:
Thus . Hence . Assume that is not true. Then there exists such that . Let , where . Then clearly, . Let . Then we can easily obtain the following inequalities:
Thus . Hence . Assume that is not true. Then there exist such that . Let and , where . Then . Let . Then
Thus . So , but . Assume that is not true. Then there exist such that . Let , where . Then clearly, . Let . Then
Thus . So , but . Assume that is not true. Then there exist such that . Let , where . Then clearly, . Let . Then
Thus . So , but . Assume that is not true. Then there exist such that . Let , where . Then clearly, . Let . Then
Thus . So , but . □
The following theorem provides a characterization of cubic bipolar ideals in terms of their interval-valued fuzzy and bipolar fuzzy components.
Theorem 8.
Let be any CB-set of X. Then is a CB-ideal of X if and only if is a BIVF-ideal and is a BF-ideal of X.
Proof.
Suppose that is a CB-ideal of X. Then, for each , we have
and equivalently,
Let . Then
and
Thus we obtain
Also, we easily see that
Hence, is a BIVF-ideal and is a BF-ideal of X.
Conversely, suppose that is a BIVF-ideal and is a BF-ideal of X. Then for all ,
Let . Then
Similarly,
Hence, is a cubic bipolar ideal of X. □
Example 5.
Let and be SSH-algebras. The operation on X is given in Example 1, and on Y, it is defined by
Define a mapping by
Then f is a homomorphism, since
Now define a cubic bipolar set on X by
Define the image on Y by
Then,
Hence,
and
One can verify that satisfies the defining conditions of a CB-ideal in Y.
Thus, this example illustrates the behavior of images of CB-ideals under homomorphisms.
Proposition 3.
Let be a homomorphism of SSH-algebras. If is a CB-ideal of Y, then the preimage of under is a CB-ideal of X.
Proof.
Let be a CB-ideal of Y. For all , we have
Now let . Since is a homomorphism, we have
Then,
Hence is a CB-ideal of X. □
5. Cartesian Product of CB-Structures in SSH-Algebras
In this section, we introduce the Cartesian product of CB-sets, CB-subalgebras, and CB-ideals in SSH-algebras.
Definition 13.
Let and be cubic sets of X and Y, respectively. Then the Cartesian product is defined as the cubic set of given by
where
and
For clarity of notation in SSH-algebras, we write
Definition 14.
A cubic set
of is called a CB-subalgebra of if for all , the following conditions hold:
Definition 15.
A cubic set of is called a CB-ideal of if the following conditions hold:
For all , we have
and
Proposition 4.
Let and be CB-subalgebras of X and Y, respectively. Then the Cartesian product is a CB-subalgebra of .
Proof.
Let . Then, by the definition of the product structure, we obtain
Hence, is a CB-subalgebra of . □
Proposition 5.
If and are CB-ideals of X, then the Cartesian product is a CB-ideal of .
Proof.
Let . Then we have
Now let . Then
Hence, is a CB-ideal of . □
6. Conclusions
This study introduced the notion of cubic bipolar ideals in Sheffer stroke Hilbert algebras by combining cubic set theory with bipolar fuzzy information, thereby providing a richer framework for analyzing algebraic structures. Fundamental properties and structural characteristics were established to clarify their role within this algebraic setting.
Moreover, the behavior of cubic bipolar ideals under algebraic mappings was examined through the notions of images and preimages. It was shown that these ideals were preserved under homomorphic mappings. In addition, the study of Cartesian products described how such ideals behaved in product algebras and identified conditions under which their structure was maintained.
Overall, the results enhanced the theory of Sheffer stroke Hilbert algebras and provided a foundation for further research. Future work may focus on cubic bipolar filters, homomorphism theorems, and extensions to other algebraic systems such as BCK- and EQ-algebras, along with potential applications in uncertainty modeling and decision-making.
Author Contributions
The current paper resulted from a long-term collaboration and some short communications. Conceptualization, A.S.A., T.O., R.N., R.B. and H.B.; supervision, T.O., R.N., R.B. and H.B.; writing—original draft preparation, A.S.A., T.O., R.N., R.B., and H.B.; resources, T.O., R.N., H.B. and A.S.A.; writing—review and editing, T.O., R.N., R.B., H.B. and A.S.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research is funded by Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, under Researchers Supporting Project Number PNURSP2026R231.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Acknowledgments
The authors extend their appreciation to Princess Nourah bint Abdulrahman University for funding this research under Researchers Supporting Project number PNURSP2026R231, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Conflicts of Interest
The authors declare that they have no conflicts of interests concerning the publication of this article.
References
- Sheffer, H.M. A set of five independent postulates for Boolean algebras, with application to logical constants. Trans. Am. Math. Soc. 1913, 14, 481–488. [Google Scholar] [CrossRef]
- Chajad, I. Sheffer operation in ortholattices. Acta Univ. Palack. Olomuc. Fac. Rerum Natur. Math. 2005, 44, 19–23. [Google Scholar]
- Kozarkiewicz, V.; Grabowski, A. Axiomatization of Boolean algebras based on Sheffer stroke. Formaliz. Math. 2004, 12, 355–361. [Google Scholar]
- Oner, T.; Katican, T.; Borumand Saeid, A. Class of Sheffer stroke BCK-algebras. An. Şt. Univ. Ovidius Constanţa 2022, 30, 247–269. [Google Scholar] [CrossRef] [Scilit]
- Oner, T.; Katican, T.; Borumand Saeid, A. Relation between Sheffer Stroke and Hilbert Algebras. Categ. Gen. Algebr. Struct. Appl. 2021, 14, 245–268. [Google Scholar] [CrossRef] [Scilit]
- Oner, T.; Katican, T.; Borumand Saeid, A. Fuzzy filters of Sheffer stroke Hilbert algebras. J. Intell. Fuzzy Syst. 2021, 40, 759–772. [Google Scholar] [CrossRef] [Scilit]
- Kalmbach, G. Algebraic Approaches to Logic; North-Holland: Amsterdam, The Netherlands, 1983. [Google Scholar]
- Priest, G. An Introduction to Non-Classical Logic: From If to Is; Cambridge University Press: Cambridge, UK, 2008. [Google Scholar]
- Dummett, M. Elements of Intuitionistic Logic; Oxford University Press: Oxford, UK, 1978. [Google Scholar]
- Atanassov, K.T.; Gargov, G. Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 1989, 31, 343–349. [Google Scholar] [CrossRef] [Scilit]
- Jun, Y.B.; Kim, C.S.; Yang, K.O. Cubic sets. Ann. Fuzzy Math. Inform. 2012, 4, 83–98. [Google Scholar]
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