Abstract
\(Q\)-neutrosophic soft sets are essentially neutrosophic soft sets characterized by three independent two-dimensional membership functions which stand for uncertainty, indeterminacy and falsity. Thus, it can be applied to two-dimensional imprecise, indeterminate and inconsistent data which appear in most real-life problems. Graph theory has now become a major branch of applied mathematics, and it is generally regarded as a branch of combinatorics. In this research paper, we introduce the concept of \(Q\)-neutrosophic soft graphs (Q-\({\mathcal{N}\mathcal{S}}Gs\)) that are made by combining \(Q\)-neutrosophic soft sets with graphs and describe different methods of their construction. A \(Q\)-neutrosophic soft graphs model is very much efficient for such real word problems which can construct more precise, flexible, and comparable system as compared to the classical, fuzzy and neutrosophic graph models. In this paper, we first define the concept of \(Q\)-neutrosophic soft graph (Q-\({\mathcal{N}\mathcal{S}}G\)). In this paper we introduce the concept of \(Q\)-\({\mathcal{N}\mathcal{S}}G\), strong Q-\({\mathcal{N}\mathcal{S}}G\), union and intersection of Q-\({\mathcal{N}\mathcal{S}}G\). The new concept is called Q-\({\mathcal{N}\mathcal{S}}G\) multicriteria decision-making method (Q-\({\mathcal{N}\mathcal{S}}GMCDM\) for short). Finally, we describe the utility of the \(Q\)-neutrosophic soft graph and its applications in communication network and decision-making problem.
Similar content being viewed by others
References
Abu Qamar M, Hassan N (2018) Q-neutrosophic soft relation and its application in decision making. Entropy 20(3):172–185
Adam F, Hassan N (2016) Multi Q-Fuzzy soft expert set and its applications. J Intell Fuzzy Syst 30(2):943–950
Akram M, Shahzadi S (2017) Neutrosophic soft graphs with application. J Intell Fuzzy Syst 32(1):841–858
Alkhazaleh S, Salleh AR (2011) Soft expert sets. Adv Decis Sci 757868:1–12. https://doi.org/10.1155/2011/757868
Alkhazaleh S, Salleh AR (2014) Fuzzy soft expert set and its application. Appl Math 5:1349–1368. https://doi.org/10.4236/am.2014.59127
Alhazaymeh K, Hassan N (2014) Mapping on generalized vague soft expert set. Int J Pure Appl Math 93(3):369–376
Hassan A-Q (2016) Neutrosophic vague soft expert set theory. J Intell Fuzzy Syst 30(6):3691–3702
Atanassov KT (1986) Intuitionistic fuzzy set. Fuzzy Sets Syst 20(1):87–86
Bakbak D Uluçay V (2020) A theoretic approach to decision making problems in architecture with neutrosophic soft set. Quadruple Neutrosophic Theory and Applications Volume I. Pons Publishing House Brussels, pp113–126
Bakbak, D Uluçay V (2019) Chapter eight multiple criteria decision making in architecture based on q-neutrosophic soft expert multiset. Neutrosophic triplet structures, Pons Publishing House Brussels, pp 90–105
Bakbak D, Uluçay V, Şahin M (2019) Neutrosophic soft expert multiset and their application to multiple criteria decision making. Mathematics 7(1):50–63. https://doi.org/10.3390/math7010050
Broumi S, Smarandache F (2013) Intuitionistic neutrosophic soft set. J Inf Comput Sci 8(2):130–140
Broumi S Smarandache F Talea M Bakali A (2016) An introduction to bipolar single valued neutrosophic graph theory. In: OPTIROB conference
Broumi S, Bakali A, Talea M, Smarandache F (2016) Isolated single valued neutrosophic graphs. Neutrosophic Sets Syst 11:74–77
Broumi S, Talea M, Bakali A, Smarandache F (2016) On bipolar single valued neutrosophic graphs. J New Theory 11:84–102
Broumi S, Talea M, Bakali A, Smarandache F (2016) Interval valued neutrosophic graphs. Publ Soc Math Uncertain 10:1–35
Broumi S Talea M Smarandache F Bakali A (2016d) Single valued neutrosophic graphs: degree, order and size. In: IEEE world congress on computational intelligence
Broumi S, Talea M, Bakali A, Smarandache F (2016) Single valued neutrosophic graphs. J New Theory 10:86–101
Broumi S Talea M Bakali A Smarandache F (2016f) Decision-making method based on the interval valued neutrosophic graph. IN: FTC 2016: future technologies conference 2016 6–7 December 2016 | San Francisco, United States
Broumi S, Talea M, Bakali A, Smarandache F (2016) On strong interval valued neutrosophic graphs. Crit Rev 7:49–71
Broumi S, Bakali A, Talea M, Smarandache F, Singh PK, Uluçay V, Khan M (2019) Bipolar complex neutrosophic sets and its application in decision making problem. In: Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer, Cham, pp 677–710
Basha SS, Kartheek E (2015) Laplacian Energy of an Intuitionistic Fuzzy Graph. Indian J Sci Technol 8(33):1–7
Das K, Samanta S, De K (2020) Generalized neutrosophic competition graphs. Neutrosophic Sets Syst 31(1):12–27
Deepa G, Praba B, Chandrasekaran VM (2015) Max-min intuitionistic fuzzy matrix of an intuitionistic fuzzy graph. Int J Pure Appl Math 98(3):375–387
Deepa G, Praba B, Chandrasekaran VM (2016) A study on energy of an intuitionistic fuzzy directed graph. Res J Pharm Technol 9(2):190–195
Gani AN, Ahamed MB (2003) Order and size in fuzzy graph. Bull Pure Appl Sci E 22:145–148
Gani AN, Begum SS (2010) Degree, order and size in intuitionistic fuzzy graphs. Int J Algorithms Comput Math 3(3):11–16
Hassan N, Alhazaymeh K (2013) Vague soft expert set theory. AIP Conf Proc 1522:953–958
Hassan N, Uluçay V, Şahin M (2018) Q-neutrosophic soft expert set and its application in decision making. Int J Fuzzy Syst Appl (IJFSA) 7(4):37–61
Huang L, Hu Y, Li Y, Kumar PK, Koley D, Dey A (2019) A study of regular and irregular neutrosophic graphs with real life applications. Mathematics 7(6):551–570
Hussain SS, Jafari S, Broumi S, Durga N (2020) Operations on neutrosophic vague graphs. Neutrosophic Sets Syst 35:368–387
Mathew S, Sunitha MS (2009) Types of arcs in a fuzzy graph. Inf Sci 179(11):1760–1768
Mathew S, Sunitha MS (2010) Node connectivity and arc connectivity of a fuzzy graph. Inf Sci 180(4):519–531
Maji PK (2013) Neutrosophic soft set. Ann Fuzzy Math Inform 5(1):157–168
Maji PK, Roy AR, Biswas R (2003) Soft set theory. Comput Math Appl 45(4–5):555–562
Mathew JK, Mathew S (2016) On strong extremal problems in fuzzy graphs. J Intell Fuzzy Syst 30:2497–2503
Mohinta S, Samanta TK (2015) An introduction to fuzzy soft graph. Math Moravica 19(2):35–48
Muthuraj R, Sasireka A (2016) Fuzzy dominator coloring and fuzzy chromatic number on cartesian product of simple fuzzy graph. Adv Theor Appl Math 11(3):245–260
Malik MA, Rashmanlou H, Shoaib M, Borzooei RA, Taheri M, Broumi S (2020) A study on bipolar single-valued neutrosophic graphs with novel application. Neutrosophic Sets Syst 32(1):15–25
Mohanta K, Dey A, Pal A, Long HV, Son LH (2020) A study of m-polar neutrosophic graph with applications. J Intell Fuzzy Syst 38(4):4809–4828
Mullai M, Broumi S (2020) Dominating energy in neutrosophic graphs. Int J Neutrosoph Sci 5(1):38–58
Molodtsov DA (1999) Soft set theory-first results. Comput Math Appl 37:19–31
Rashmanlou H, Samanta S, Pal M, Borzooei RA (2016) A study on vague graphs. Springerplus 5(1):1234
Shahzadi S, Akram M (2017) Intuitionistic fuzzy soft graphs with applications. J Appl Math Comput 55(1–2):369–392
Shah N (2016) Some studies in neutrosophic graphs. Neutrosophic Sets Syst 12:54–64
Shah N, Hussain A (2016) Neutrosophic soft graphs. Neutrosophic Sets Syst 11:31–43
Şahin M, Alkhazaleh S, Ulucay V (2015) Neutrosophic soft expert sets. Appl Math 6(1):116–127
Şahin M, Deli I, Uluçay V (2016) Jaccard vector similarity measure of bipolar neutrosophic set based on multi-criteria decision making. Pons Publishing House Brussels
Şahin M, Olgun N, Uluçay V, Kargın A, Smarandache F (2017) A new similarity measure based on falsity value between single valued neutrosophic sets based on the centroid points of transformed single valued neutrosophic numbers with applications to pattern recognition Pons Publishing House Brussels
Şahin M, Olgun N, Kargın A, Uluçay V (2018) Isomorphism theorems for soft G-modules. Afr Mat 29(7–8):1237–1244
Şahin M, Uluçay V, Acıoglu H (2018a) Some weighted arithmetic operators and geometric operators with SVNSs and their application to multi-criteria decision making problems. Pons Publishing House Brussels
Şahin M, Uluçay V, Broumi S (2018b) Bipolar neutrosophic soft expert set theory. Pons Publishing House Brussels
Şahin M, Uluçay V, Menekşe M (2018) Some new operations of (α, β, γ) interval cut set of interval valued neutrosophic sets. J Math Fundam Sci 50(2):103–120
Şahin M, Uluçay V, Ecemiş O, Çıngı B (2019) An outperforming approach for multi-criteria decision-making problems with interval-valued Bipolar neutrosophic sets. Neutrosophic triplet structures, Pons Publishing House Brussels, pp 108–123
Sahoo S, Pal M (2016) Intuitionistic fuzzy competition graphs. J Appl Math Comput 52(1–2):37–57
Smarandache F (1998) A unifying field in logics. neutrosophy:neutrosophic probability, set and logic. Rehoboth: American Research Press
Smarandache F (2005) Neutrosophic set–A generalization of the intuitionistic fuzzy sets. Int J Pure Appl Math 24(3):287–297
Smarandache F (2015) Symbolic neutrosophic theory, Europa Nova, Bruxelles, 194p. https://arxiv.org/ftp/arxiv/papers/1512/1512.00047.pdf
Uluçay V, Şahin M, Olgun N, Kilicman A (2017) On neutrosophic soft lattices. Afr Mat 28(3–4):379–388
Uluçay V, Şahin M, Olgun N (2018) Time-neutrosophic soft expert sets and its decision making problem. Matematika 34(2):246–260
Uluçay V, Kılıç A, Yıldız I, Sahin M (2018) A new approach for multi-attribute decision-making problems in bipolar neutrosophic sets. Neutrosophic Sets Syst 23(1):142–159
Uluçay V, Şahin M, Hassan N (2018) Generalized neutrosophic soft expert set for multiple-criteria decision-making. Symmetry 10(10):437–454. https://doi.org/10.3390/sym10100437
Uluçay V, Deli I, Şahin M (2018) Similarity measures of bipolar neutrosophic sets and their application to multiple criteria decision making. Neural Comput Appl 29(3):739–748
Uluçay V, Kılıç A, Şahin M, Deniz H (2019) A New hybrid distance-based similarity measure for refined neutrosophic sets and its application in medical diagnosis. MATEMATIKA Malaysian J Ind Appl Math 35(1):83–94
Vasantha Kandasamy WB, Smarandache F (2004) Analysis of social aspects of migrant laborers living with HIV/AIDS using Fuzzy Theory and Neutrosophic Cognitive Maps. Xiquan, Phoenix, 2004
Vasantha Kandasamy WB, Smarandache F (2013) Fuzzy cognitive maps and neutrosophic cognitive maps Xiquan Phoenix AZ USA 2013: 213 p
Vasantha Kandasamy WB, Ilanthenral K Smarandache F (2015) Neutrosophic graphs: a new dimension to graph Theory Kindle Edition USA 2015 127p
Zadeh LA (1965) Fuzzy sets. Inform Control 8:338–353
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The author declares that he has no conflict of interest.
Human and animal rights
This article does not contain any studies with human participants or animals performed by the author.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Uluçay, V. Q-neutrosophic soft graphs in operations management and communication network. Soft Comput 25, 8441–8459 (2021). https://doi.org/10.1007/s00500-021-05772-8
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-021-05772-8