International Journal of Fuzzy Logic and Intelligent Systems 2023; 23(1): 79-90
Published online March 25, 2023
https://doi.org/10.5391/IJFIS.2023.23.1.79
© The Korean Institute of Intelligent Systems
K. Kalaiarasi1 , L. Mahalakshmi1, Nasreen Kausar2, and A. B. M. Saiful Islam3
1Department of Mathematics, Cauvery College for Women (Autonomous), Affiliated to Bharathidasan University, Tamil Nadu, India
2Department of Mathematics, Faculty of Arts and Science, Yildiz Technical University, Istanbul, Turkey
3Department of Civil & Construction Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Correspondence to :
K. Kalaiarasi (kalaishruthi1201@gmail.com)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study introduces and analyzes the conormal product of intuitionistic anti-fuzzy graphs (IAFGs) and analyzes certain fundamental theorems and applications. Further, new notions on complete and regular IAFGs were introduced, and the conormal product operation was applied to these IAFGs. We showed that the conormal product of two IAFGs could be used and analyzed important results showing that the conormal product of complete, regular, and strong IAFGs is an IAFG.
Keywords: Conormal product of IFGs, Conormal product of IAFGs, Conormal product of complete IAFGs, Conormal product of regular IAFGs, Conormal product of strong IAFGs
The concept of fuzzy sets was first introduced by Zadeh [1] in 1965 and has since gained popularity. It has been used to solve many real-world decision-making problems with uncertainty. Additionally, fuzzy set theory is investigated in various domains, including mathematics, computer science, and signal processing. There have been many attempts at generalizing fuzzy sets, including interval-valued fuzzy sets (IVFSs) bipolar fuzzy sets (BPFs), intuitionistic fuzzy sets (IFSs), and picture fuzzy sets (PFSs). Graphs are a simple method of communicating data, as are connections between different substances. The substances are demonstrated by vertices and their relations by edges. Kaufmann and Zadeh [2] was the first to introduce the concept of fuzzy graphs. In 1975, Rosenfield [3] fuzzy graph concepts that broadened the scope of fuzzy sets to include graph theory. Later, Bhattachaya [4] analyzed several ideas in fuzzy graphs. Mordeson and his colleagues [5,6] analyzed certain operations on fuzzy graphs and hypergraphs. Parvathi and his colleagues [7,8] introduced intuitionistic fuzzy graphs (IFGs). Chaira and Ray [9] explained the application of intuitionistic fuzzy set theory. Nagoorgani and Radha [10] proposed certain properties and the conjunction of two fuzzy graphs. Xu and Hu [11] suggested some ideas in the projection models of IFGs. Mordeson and Nar [6] put forward basic ideas for fuzzy graphs and hypergraphs. Radha and Arumugam [12, 13] summarized the properties of strong product fuzzy graphs. The product of fuzzy graphs was established by Dogra [14], and Sahoo and Pal [15] presented product concepts based on IFGs in the same year. Rashmanlou et al. [16] explained some properties of IFGs. Products on IFGs were introduced in the same year by Sahoo et al.[18]. Sahoo and Pal [15]. The authors of [15, 17] also developed intuitionistic fuzzy competition graphs in 2016. Karunambigai et al. [18] explained the concepts of IFGs. In the same year, Mohideen et al. [19] described the properties of regular IFGs. Peter [20] established the conormal product of two fuzzy graphs. Muthuraj and Sasireka [21, 22] provided notions on anti-fuzzy graphs. Complex IFGs were introduced by Yaqoob et al. [23]. Pal et al. [24] established important notions of fuzzy graph theory. Rashmanlou and his colleagues [16, 25–28] explained various IVFSs in 2014. In 2015, IFGs with categorical properties were developed by Rashmanlou et al. [16]. Several studies [29–33] discussed the principles of fuzzy graphs and different products in fuzzy graphs. X. Hong et al. introduced some applications of fuzzy graphs. From 2012 to 2023, the authors of [18, 34–38] explained the concepts of intuitionistic and domination fuzzy graphs. Later, they discovered the novel conormal product, utilized exclusively for IFGs. Subsequently, the conormal product was utilized for intuitionistic anti-fuzzy graphs (IAFGs).
This manuscript is organized as follows: Section 2 provides basic and important definitions. We introduce and study conormal products on IAFGs in Section 3 on fascinating IAFGs, including complete, regular, and strong IAFGs. Using a conormal product yielded interesting outcomes. The conormal product of complete IAFGs yields a complete IAFG, the conormal product of regular IAFGs yields a regular IAFG, and the conormal product of pseudo-strong IAFGs yields a strong IAFG. In Section 4, we discovered an application of the conormal product on IAFGs. Future conormal product work on IAFGs is discussed in Section 5.
A fuzzy graph is an ordered triple
A fuzzy graph
An IFG has the form
(i)
(ii)
and 0 ≤
Let
The extension of edge values is given by
(i)
(ii)
The preceding paper discussed certain concepts of IAFGs. This section introduces conormal products and illustrates how to use them in IAFGs. We use the conormal product on two IFGs.
Let
The vertex’s MS and NMS values (
(i)
(ii)
The extension of edge values is given by
(i)
(ii)
See Figure 1.
Let
See Figure 2.
See Figure 3.
See Figure 4.
Let
See Figure 5.
Let
See Figure 6.
A conormal product of two IAFGs is an IAFGs.
Let
From definition, it follows that
then
This proves that an IAFG is the conormal product of two IAFGs.
If
W.K.T conormal product of two IAFGs is an IAFG.
The conormal product of both IAFGs is complete.
An IAFG is said to be complete if
Hence,
If
W.K.T conormal product of two IAFGs is an IAFG.
Conormal product of both IAFGs is strong.
An IAFG is said to be strong if
Hence,
If
Let
The conormal product of IAFGs is also an IAFG.
Let
See Figure 7.
In Fig. 7,
From the above we get
Hence,
Although the conormal product of IAFGs is regular, regular fuzzy graphs need not be the conormal product of IAFGs.
See Figure 8.
The above example is a regular and pseudo-regular fuzzy graph. However, it is not a conormal product of IAFGs.
In this example, we demonstrated how to use the conormal product of two IAFGs. Consider the following example, where
In
Consequently, the most effective combinations with the highest percentage of quality improvement and the lowest percentage of cost increase were discovered across all supermarkets.
In this manuscript, we present the conormal product of IAFGs. We define the conormal product of IAFGs, and use a few examples to demonstrate its properties. Each of the given definitions and hypothetical methodologies is appropriate for regular, complete, and strong IAFGs.
In future work, different kinds of products of different types of IFGs, like m-polar, interval-valued, vague, and hesitancy anti-fuzzy graphs, will be discussed. The above anti-fuzzy graphs are useful for practical applications. We are committed to managing other maintainable improvement objectives for a better world.
No potential conflict of interest relevant to this article was reported.
E-mail: kalaishruthi1201@gmail.com
E-mail: mahaparthi19@gmail.com
E-mail: nkausar@yildiz.edu.tr
E-mail: abm.saiful@gmail.com
International Journal of Fuzzy Logic and Intelligent Systems 2023; 23(1): 79-90
Published online March 25, 2023 https://doi.org/10.5391/IJFIS.2023.23.1.79
Copyright © The Korean Institute of Intelligent Systems.
K. Kalaiarasi1 , L. Mahalakshmi1, Nasreen Kausar2, and A. B. M. Saiful Islam3
1Department of Mathematics, Cauvery College for Women (Autonomous), Affiliated to Bharathidasan University, Tamil Nadu, India
2Department of Mathematics, Faculty of Arts and Science, Yildiz Technical University, Istanbul, Turkey
3Department of Civil & Construction Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Correspondence to:K. Kalaiarasi (kalaishruthi1201@gmail.com)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study introduces and analyzes the conormal product of intuitionistic anti-fuzzy graphs (IAFGs) and analyzes certain fundamental theorems and applications. Further, new notions on complete and regular IAFGs were introduced, and the conormal product operation was applied to these IAFGs. We showed that the conormal product of two IAFGs could be used and analyzed important results showing that the conormal product of complete, regular, and strong IAFGs is an IAFG.
Keywords: Conormal product of IFGs, Conormal product of IAFGs, Conormal product of complete IAFGs, Conormal product of regular IAFGs, Conormal product of strong IAFGs
The concept of fuzzy sets was first introduced by Zadeh [1] in 1965 and has since gained popularity. It has been used to solve many real-world decision-making problems with uncertainty. Additionally, fuzzy set theory is investigated in various domains, including mathematics, computer science, and signal processing. There have been many attempts at generalizing fuzzy sets, including interval-valued fuzzy sets (IVFSs) bipolar fuzzy sets (BPFs), intuitionistic fuzzy sets (IFSs), and picture fuzzy sets (PFSs). Graphs are a simple method of communicating data, as are connections between different substances. The substances are demonstrated by vertices and their relations by edges. Kaufmann and Zadeh [2] was the first to introduce the concept of fuzzy graphs. In 1975, Rosenfield [3] fuzzy graph concepts that broadened the scope of fuzzy sets to include graph theory. Later, Bhattachaya [4] analyzed several ideas in fuzzy graphs. Mordeson and his colleagues [5,6] analyzed certain operations on fuzzy graphs and hypergraphs. Parvathi and his colleagues [7,8] introduced intuitionistic fuzzy graphs (IFGs). Chaira and Ray [9] explained the application of intuitionistic fuzzy set theory. Nagoorgani and Radha [10] proposed certain properties and the conjunction of two fuzzy graphs. Xu and Hu [11] suggested some ideas in the projection models of IFGs. Mordeson and Nar [6] put forward basic ideas for fuzzy graphs and hypergraphs. Radha and Arumugam [12, 13] summarized the properties of strong product fuzzy graphs. The product of fuzzy graphs was established by Dogra [14], and Sahoo and Pal [15] presented product concepts based on IFGs in the same year. Rashmanlou et al. [16] explained some properties of IFGs. Products on IFGs were introduced in the same year by Sahoo et al.[18]. Sahoo and Pal [15]. The authors of [15, 17] also developed intuitionistic fuzzy competition graphs in 2016. Karunambigai et al. [18] explained the concepts of IFGs. In the same year, Mohideen et al. [19] described the properties of regular IFGs. Peter [20] established the conormal product of two fuzzy graphs. Muthuraj and Sasireka [21, 22] provided notions on anti-fuzzy graphs. Complex IFGs were introduced by Yaqoob et al. [23]. Pal et al. [24] established important notions of fuzzy graph theory. Rashmanlou and his colleagues [16, 25–28] explained various IVFSs in 2014. In 2015, IFGs with categorical properties were developed by Rashmanlou et al. [16]. Several studies [29–33] discussed the principles of fuzzy graphs and different products in fuzzy graphs. X. Hong et al. introduced some applications of fuzzy graphs. From 2012 to 2023, the authors of [18, 34–38] explained the concepts of intuitionistic and domination fuzzy graphs. Later, they discovered the novel conormal product, utilized exclusively for IFGs. Subsequently, the conormal product was utilized for intuitionistic anti-fuzzy graphs (IAFGs).
This manuscript is organized as follows: Section 2 provides basic and important definitions. We introduce and study conormal products on IAFGs in Section 3 on fascinating IAFGs, including complete, regular, and strong IAFGs. Using a conormal product yielded interesting outcomes. The conormal product of complete IAFGs yields a complete IAFG, the conormal product of regular IAFGs yields a regular IAFG, and the conormal product of pseudo-strong IAFGs yields a strong IAFG. In Section 4, we discovered an application of the conormal product on IAFGs. Future conormal product work on IAFGs is discussed in Section 5.
A fuzzy graph is an ordered triple
A fuzzy graph
An IFG has the form
(i)
(ii)
and 0 ≤
Let
The extension of edge values is given by
(i)
(ii)
The preceding paper discussed certain concepts of IAFGs. This section introduces conormal products and illustrates how to use them in IAFGs. We use the conormal product on two IFGs.
Let
The vertex’s MS and NMS values (
(i)
(ii)
The extension of edge values is given by
(i)
(ii)
See Figure 1.
Let
See Figure 2.
See Figure 3.
See Figure 4.
Let
See Figure 5.
Let
See Figure 6.
A conormal product of two IAFGs is an IAFGs.
Let
From definition, it follows that
then
This proves that an IAFG is the conormal product of two IAFGs.
If
W.K.T conormal product of two IAFGs is an IAFG.
The conormal product of both IAFGs is complete.
An IAFG is said to be complete if
Hence,
If
W.K.T conormal product of two IAFGs is an IAFG.
Conormal product of both IAFGs is strong.
An IAFG is said to be strong if
Hence,
If
Let
The conormal product of IAFGs is also an IAFG.
Let
See Figure 7.
In Fig. 7,
From the above we get
Hence,
Although the conormal product of IAFGs is regular, regular fuzzy graphs need not be the conormal product of IAFGs.
See Figure 8.
The above example is a regular and pseudo-regular fuzzy graph. However, it is not a conormal product of IAFGs.
In this example, we demonstrated how to use the conormal product of two IAFGs. Consider the following example, where
In
Consequently, the most effective combinations with the highest percentage of quality improvement and the lowest percentage of cost increase were discovered across all supermarkets.
In this manuscript, we present the conormal product of IAFGs. We define the conormal product of IAFGs, and use a few examples to demonstrate its properties. Each of the given definitions and hypothetical methodologies is appropriate for regular, complete, and strong IAFGs.
In future work, different kinds of products of different types of IFGs, like m-polar, interval-valued, vague, and hesitancy anti-fuzzy graphs, will be discussed. The above anti-fuzzy graphs are useful for practical applications. We are committed to managing other maintainable improvement objectives for a better world.
Conormal product of two IAFGs.
Conormal product of complete IAFGs.
Conormal product of complete IAFGs.
Conormal product of complete IAFGs.
Conormal product of strong IAFGs.
Conormal product of regular IAFGs.
Conormal product of regular IAFG.
Regular IAFG.
Conormal product of two IAFGs.
|@|~(^,^)~|@|Conormal product of complete IAFGs.
|@|~(^,^)~|@|Conormal product of complete IAFGs.
|@|~(^,^)~|@|Conormal product of complete IAFGs.
|@|~(^,^)~|@|Conormal product of strong IAFGs.
|@|~(^,^)~|@|Conormal product of regular IAFGs.
|@|~(^,^)~|@|Conormal product of regular IAFG.
|@|~(^,^)~|@|Regular IAFG.