Fuzzy Secure Double Resolving Set and Co-secure Double Resolving Set and its Application
Résumé
In this article, we present a novel concept in fuzzy graph theory named fuzzy secure double resolving set. The main contribution of this paper is the introduction of various fuzzy secure resolving sets such as fuzzy secure resolving set, fuzzy co-secure resolving set, fuzzy secure resolving number, fuzzy secure double resolving set, fuzzy co-secure double resolving set, fuzzy edge resolving set, fuzzy edge secure resolving set, fuzzy bi-resolving set, and fuzzy global resolving set. The primary contribution of this document is the implementation of the fuzzy secure double resolving set in uncertain graphs. It guarantees the identification and monitoring of nodes, even in the event of some node failures. This document defines fuzzy secure resolving set, examines its characteristics, and offers instances to illustrate its functional application. We additionally offer examples to assist in grasping how it functions. This idea is beneficial since it guarantees that even if certain nodes in the graph malfunction or cease to operate, the system is still capable of accurately identifying and monitoring other nodes. This is particularly beneficial for practical issues such as sensor networks, communication systems, and fields where high reliability is essential even in the presence of potential faults or unpredictability. We also present some properties, corollaries, results, and theorems related to fuzzy secure double resolving sets.
Téléchargements
Références
[2] Arumugam, S., Ebadi, K., & Manrique, M. (2014). Co-secure and secure domination in graphs. Util. Math, 94, 167-182.
[3] Azeem, M., Rashid, H., Jamil, M. K., Gütmen, S., & Tirkolaee, E. B. (2025). Plithogenic fuzzy graph: A study of fundamental properties and potential applications. Journal of Dynamics and Games, 12(3), 196-214
[4] Bera, J., Das, K. C., Samanta, S., & Lee, J. G. (2023). Connectivity status of intuitionistic fuzzy graph and its application to merging of banks. Mathematics, 11(8), 1949.
[5] Bhattacharya, P. Some remarks on fuzzy graphs. Pattern Recognit. Lett. 1987, 6, 297–302. 2008)
[6] Bok, Jan, Antoine Dailly, and Tuomo Lehtil¨a. ”Resolving sets in temporalgraphs.newblock ” International Workshop on Combinatorial Algorithms. Cham:Springer Nature Switzerland,2024..
[7] K. R. Bhutani and A. Rosenfeld, Strong arcs in fuzzy graphs. Information Sciences.,152, 319 − 322, 2003.
[8] Cabaro, Jean Mansanadez, and Helen Rara. ”On 2-resolving sets in the join andcorona of graphs. ” European journal of pure and applied mathematics 14.3(2021) :773 − 782.
[9] Cabaro, Jean Mansanadez, and Helen Rara. ”Restrained 2-resolving sets in the join,corona and lexicographic product of two graphs. ” European Journal of Pure and Applied Mathematics 15.3(2022) : 1229 − 1236.
[10] Cai, R., Rangasamy, B., Karuppusamy, S. P., & Khan, A. (2025). Characterization of Degree Energies and Bounds in Spectral Fuzzy Graphs. Symmetry, 17(5), 644.
[11] Darabian, Elham, et al. ”New concepts of regular and (highly) irregular vague graphswith applications. ” Fuzzy Information and Engineering 9.2(2017) : 161 − 179.
[12] F. Harary and R.A Melter, On the metric dimension of a graph, On the metricdimension of a graph. Ars Combinatoria, 2(1976).
[13] Ghorai, G. and Jacob, K., 2020. Recent developments on the basics of fuzzy graphtheory. Handbook of research on advanced applications of graph theory inmodern society, pp.419-436.
[14] Krleža, D., & Fertalj, K. (2016). Graph matching using hierarchical fuzzy graph neural networks. Ieee transactions on fuzzy systems, 25(4), 892-904.
[15] Kratica, Jozef, et al. ”Minimal doubly resolving sets and the strong metric dimensionof some convex polytopes. ” Applied Mathematics and Computation 218.19(2012) :9790 − 9801.
[16] Liu, Jia-Bao, and Ali Zafari. ”Computing minimal doubly resolving sets and thestrong metric dimension of the layer sun graph and the line graph of the layer sungraph.” Mathematics Combinatorics(2020) : 6267072.
[17] Mary Jiny, D., Shanmu-gapriya, R. Fuzzy resolving number and real basis generating fuzzy graphs. AfrikaMatematika, 2023).34(2), 25.
[18] Jiny, D. M., & Shanmugapriya, R. (2021). Properties of Fuzzy Resolving Set. Turkish Journal of Computer and Mathematics Education, 12(5), 1085-1089.
[19] D. Mary Jiny,Shanmugapriya, R. ”Fuzzy super resolving number and resolvingnumber of some special graphs”. TWMS Journal of Applied and Engineering Math-ematics ., 2021.
[20] Shanmugapriya, R., Hemalatha, P. K., Cepova, L., & Struz, J. (2023). A Study of Independency on Fuzzy Resolving Sets of Labelling Graphs. Mathematics, 11(16), 3440.
[21] Vasuki, M., Shanmugapriya, R., Mahdal, M., & Cep, R. (2023). A study on fuzzy resolving domination sets and their application in network theory. Mathematics, 11(2), 317.
[22] R. Shanmugapriya,p.sangeetha (2025) An Analysis and the Implications of Fuzzy Doubly resolving sets in fuzzy graph J. Appl. Math. & Informatics Vol. 43(2025), No. 5, pp. 1439 - 1453.
[23] R. Shanmugapriya,p.sangeetha (2026) Applicationn of neutrosophic resolving sets in earthquake disaster management using neutrosophic graph models.Neutrosophic resolving sets and system
[24] Mathew, S.; Sunitha, M.S. . . Types of arcs in a fuzzy graph. Inf. Sci,2009, 179, 1760–1768.
[25] S. Mathew and M.S. Sunitha, Strongest strong cycles and theta fuzzy graphs.IEEE Transections on Fuzzy Systems, 2013.
[26] Mordeson,J.N.; Chang-Shyh, P. Operations on fuzzy graphs. Inf. Sci, 1994, 79, 159–170..
[27] Mordeson, J.N.; Nair, P.S. Fuzzy Graphs and Fuzzy Hypergraphs; Springer: Heidelberg, Germany,2000; ISBN 978-3-7908-1854-3. [Google Scholar]
[28] Mohamed, B., & Amin, M. (2023). Domination number and secure resolving sets in cyclic networks. Applied and Computational Mathematics, 12(2), 42-45.
[29] C. M. Mynhardt, H. C. Swart, and E. Ungerer, Excellent trees and secure domination, Util. Math., 67 (2005), 255–267.
[30] Jannesari, Mohsen. . ”On doubly resolving sets in graphs.” Bulletin of the Malaysian
Mathematical Sciences Society, 45, no.5(2022) : 2041 − 2052.
[31] Pramanik, T., Samanta, S. and Pal, M., 2020. Interval-valued fuzzygraphs. International Journal of Fuzzy Logic and Intelligent Systems, 20(4), pp.316-323
[32] Rao, Y., Lei, S., Talebi, A.A. and Mojahedfar, M., 2023. A Novel Concept of LevelGraph in Interval-Valued Fuzzy Graphs with Application. Symmetry, 15(12)
[33] Raja, J. R., Lee, J. G., Dhotre, D., Mane, P., Rajankar, O. S., Kalampakas, A., ... & Bhalke, D. G. (2024). Fuzzy graphs and their applications in finding the best route, dominant node and influence index in a network under the hesitant bipolar-valued fuzzy environment. Complex & Intelligent Systems, 10(4), 5195-5211.
[34] Sooryanarayana, Badekara, A. S. Suma, and S. B. Chandrakala. ”Certain varietiesof resolving sets of a graph. ” J. Indones. Math.Soc27.1(2021) : 103 − 114.
[35] Subramanian, H., & Arasappan, S. (2018). Secure resolving sets in a graph. Symmetry, 10(10), 439.
[36] Sunitha, M.S.; Vijayakumar, A. Complement of a fuzzy graph. Indian J. Pure Appl. Math. 2002, 33,1451–1464.
[37] Sunil, M. P., & Kumar, J. S. (2024). On null vertex in bipolar fuzzy graphs. International Journal of Analysis and Applications, 22, 142-142.
[38] Talavera, F. J., Bejines, C., Ardanza-Trevijano, S., & Elorza, J. (2024). Aggregation of fuzzy graphs. International Journal of Approximate Reasoning, 172, 109243.
[39] Zadeh, L.A. Fuzzy sets Inf. Control, 1965, 8, 338–353.
[40] Zadeh, L.A. Similarity relations and fuzzy orderings Inf. Sci, 1971, 3, 177–200.
[41] Zuo, C., Pal, A., & Dey, A. (2019). New concepts of picture fuzzy graphs with application. Mathematics, 7(5), 470
Copyright (c) 2026 Boletim da Sociedade Paranaense de Matemática

Ce travail est disponible sous la licence Creative Commons Attribution 4.0 International .
When the manuscript is accepted for publication, the authors agree automatically to transfer the copyright to the (SPM).
The journal utilize the Creative Common Attribution (CC-BY 4.0).



