Certain notions of energy in fermatean quadripartitioned neutrosophicfuzzy graph
Abstract
Fermatean Quadripartitioned Neutrosophic fuzzy graph (FQNFG) is the integrating form of Fermatean and Quadripartitioned Neutrosophic fuzzy graph. Graph energy is recognized as a crucial concept in fuzzy graph theory for its ability to handle random events, thus capturing the attention of numerous researchers. Moreover, the study of graph energy has been a notable rise in recent years. Energy of Graphs have significant applications in various domains, including network analysis, decision making, Image processing, modelling uncertainty etc. This paper introduces energy and Laplacian energy for FQNFG. Adjacency matrix, eigen values, energy and Laplacian energy of FQNFG are defined with examples. Furthermore, we obtain lower and upper bounds of energy and Laplacian energy for FQNFG. Additionally, this study represents a sophisticated decision-making framework, employing a scoring methodology to assess and compare Laptops based on critical attributes such as processing power, memory & storage, Battery life and Display quality.
Keywords:
Neutrosophic fuzzy graph, Quadripartitioned Neutrosophic fuzzy graph, Fermatean Quadripartitioned Neutrosophic fuzzy graph, Eigen Values, Energy of FQNFG, Laplacian energy of FQNFG, Multi-criteria decision makingReferences
- [1] Basha, S. S. and Kartheek, E. (2015). Laplacian energy of an intuitionistic fuzzy graph. Indian Journal of Science
- [2] and Technology, 8(33):1–7.
- [3] Broumi, S., Sundareswaran, R., Shanmugapriya, M., Bakali, A., and Talea, M. (2022). Theory and applications of
- [4] fermatean neutrosophic graphs. Neutrosophic sets and systems, 50:248–286.
- [5] Brualdi, R. A. (2006). Energy of a graph. In Notes for AIM Workshop On Spectra of families of matrices described by
- [6] graphs, digraphs, and sign patterns. Citeseer.
- [7] Gutman, I. (1978). The energy of a graph. Ber. Math.-Statist. Sekt. Forschungsz. Graz, 103:1–22.
- [8] Gutman, I. (2001). The energy of a graph: old and new results. In Algebraic Combinatorics and Applications:
- [9] Proceedings of the Euroconference, Algebraic Combinatorics and Applications (ALCOMA), held in Gößweinstein,
- [10] Germany, September 12–19, 1999, pages 196–211. Springer.
- [11] Gutman, I., Firoozabadi, S. Z., de la Pena, J. A., and Rada, J. (2007). On the energy of regular graphs. MATCH
- [12] Commun. Math. Comput. Chem, 57(2):435–442.
- [13] Indulal, G. and Vijayakumar, A. (2007). Energies of some non-regular graphs. Journal of mathematical chemistry,
- [14] :377–386.
- [15] Liu, H., Lu, M., and Tian, F. (2007). Some upper bounds for the energy of graphs. Journal of Mathematical Chemistry,
- [16] :45–57.
- [17] Narayanan, A. and Mathew, S. (2013). Energy of a fuzzy graph. Annals of fuzzy mathematics and Informatics,
- [18] (3):455–465.
- [19] Naz, S., Akram, M., and Smarandache, F. (2018). Certain notions of energy in single-valued neutrosophic graphs.
- [20] Axioms, 7(3):50.
- [21] Noorjahan, S. and Sharief Basha, S. (2025). The laplacian energy of an intuitionistic fuzzy rough graph and its
- [22] utilisation in decision-making. Operations Research and Decisions, 35(1):81–107.
- [23] Praba, B., Chandrasekaran, V., and Deepa, G. (2014). Energy of an intuitionistic fuzzy graph. Ital. J. Pure Appl.
- [24] Math, 32:431–444.
- [25] Rahimi, S. S. and Fayazi, F. (2014). Laplacian energy of a fuzzy graph.
- [26] Rosenfeld, A. (1975). Fuzzy graphs. In Fuzzy sets and their applications to cognitive and decision processes, pages
- [27] –95. Elsevier.
- [28] Senapati, T. and Yager, R. R. (2020). Fermatean fuzzy sets. Journal of ambient intelligence and humanized
- [29] computing, 11:663–674.
- [30] Shannon, A. and Atanassov, K. (2006). On a generalization of intuitionistic fuzzy graphs. NIFS, 12(1):24–29.
- [31] Shparlinski, I. (2006). On the energy of some circulant graphs. Linear algebra and its applications, 414(1):378–382.
- [32] Smarandache, F. (2005). A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic
- [33] Probability (fifth edition).
- [34] Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3):338–353.
