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An introduction to single-valued neutrosophic soft topological structure

  • Fuzzy systems and their mathematics
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Abstract

Fuzzy soft set theory presented by Maji et al. (J Fuzzy Math 9(3):589–602, 2001) and soft set theory presented by Molodtsov (Comput Math Appl 37(3):19–31, 1999) are important ideas in decision-making problems. They can be used to model uncertainty and make decisions under uncertainty. A single-valued neutrosophic soft set (svnf-set) is a hybrid model of a single-valued neutrosophic set and fuzzy soft set that is shown in this paper. The novel concept of single-valued neutrosophic soft topology (svnft) is defined to discuss topological structure of (svnf-set). Some fundamental properties of svnft and their related results are studied. It is good to use the proposed models of svnf-sets and svnft to figure out how to deal with uncertainty in real life. Thus, svnft is a generalization of fuzzy soft topology and fuzzy intuitionistic soft topology. Moreover, after giving the definition of a single-valued neutrosophic soft base svnf-base, we also added the concept of svnft. Finally, we set up the concept of single-valued neutrosophic soft closure spaces and show that the initial single-valued neutrosophic soft closure structures are real, which is what we did. From this fact, the category SVNSC is considered as a topological category over SET.

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References

  • Abbas SE, El-sanowsy E, Atef A (2018) Stratified modeling in soft fuzzy topological structures. Soft Comput 22:1603–1613

    Article  Google Scholar 

  • Adámek J, Herrlich H, Strecker GE (1990) Abstract and concrete categories. Wiley, New York

    MATH  Google Scholar 

  • Ahmed B, Kharal A (2009) On fuzzy soft sets. Adv Fuzzy Syst. https://doi.org/10.1155/2009/586507

    Article  MathSciNet  MATH  Google Scholar 

  • Alsharari F, Smarandache F, Saber YM (2021) Compactness on single-valued neutrosophic ideal topological spaces. Neutrosophic Sets Syst 41:127–145

    Google Scholar 

  • Arockiarani I, Sumathi IR, Jency JM (2013) fuzzy neutrosophic soft topological spaces. Int J Math Arch 4(10):225–238

    Google Scholar 

  • Atef M, Ali M, Al-shami T (2021) Fuzzy soft covering-based multi-granulation fuzzy rough sets and their applications. Comput Appl Math 40(4):1–26

    Article  MathSciNet  Google Scholar 

  • Atef M, Nada S (2021) On three types of soft fuzzy coverings based rough sets. Math Comput Simul 185:452–467

    Article  MathSciNet  Google Scholar 

  • Aygünoǧlu A, Çetkin V, Aygün H (2014) An introduction to fuzzy soft topological spaces. Hacettepe J Math Stat 43(2):193–204

    MathSciNet  MATH  Google Scholar 

  • Chang CL (1968) Fuzzy topological spaces. J Math Anal Appl 24(1):182–190

    Article  MathSciNet  Google Scholar 

  • El-Gayyar MK (2016) Smooth neutrosophic topological spaces. Neutrosophic Sets Syst 12:65–72

    Google Scholar 

  • Feng F, Li C, Davvaz B, Ali MI (2010) Soft sets combined with fuzzy sets and rough sets: a tentative approach. Soft Comput 14:899–911

    Article  Google Scholar 

  • Feng F, Liu X, Leoreanu-Fotea V, Jun YB (2011) Soft sets and soft rough sets. Inf Sci 181:1125–137

    Article  MathSciNet  Google Scholar 

  • Molodtsov D (1999) Soft set theory-first results. Comput Math Appl 37(3):19–31

    Article  MathSciNet  Google Scholar 

  • Molodtsov D (2001) Describing dependences using soft sets. J Comput Syst Sci Int 40(3):975–982

    MATH  Google Scholar 

  • Maji P, Biswas R, Roy A (2001) Fuzzy soft sets. J Fuzzy Math 9(3):589–602

    MathSciNet  MATH  Google Scholar 

  • Maji PK, Roy AR, Biswas R (2002) An application of soft sets in a decision making problem. Comput Math Appl 44(8):1077–1083

    Article  MathSciNet  Google Scholar 

  • Nawar AS, Atef M, Khalil AM (2021) Certain types of fuzzy soft \(\beta \)-covering based fuzzy rough sets with application to decision-making. Intell Fuzzy Syst 40(6):10825–10836

    Article  Google Scholar 

  • Riaz M, Çaǧman N, Zareef I, Aslam M (2019) N-soft topology and its applications to multi-criteria group decision making. J Intell Fuzzy Syst 36(6):6521–6536

    Article  Google Scholar 

  • Riaz M, Davvaz B, Firdous A, Fakhar A (2019) Novel concepts of soft rough set topology with applications. J Intell Fuzzy Syst 36(4):3579–3590

    Article  Google Scholar 

  • Riaz M, Karaaslan F, Nawaz I, Sohail M (2021) Soft multi-rough set topology with applications to multi-criteria decision-making problems. Soft Comput J Intell Fuzzy Syst 25(1):799–815

    Google Scholar 

  • Riaz M, Samrandache F, Firdous A, Fakhar F (2019) On soft rough topology with multi-attribute group decision making. Mathematics 7(1):1–18

    Article  Google Scholar 

  • Saber YM, Abdel-Sattar MA (2014) Ideals on fuzzy topological spaces. Appl Math Sci 8:1667–1691

    MathSciNet  Google Scholar 

  • Saber YM, Alsharari F (2018) Generalized fuzzy ideal closed sets on fuzzy topological spaces in Šostak sense. Int J Fuzzy Logic Intell Syst 18:161–166

    Article  Google Scholar 

  • Saber YM, Alsharari F (2020) \(\cal{G}\Theta ^{\star \tau _{j}}_{\tau _{i}}\)-Fuzzy closure operator. New Math Nat Comput 16:123–141

    Article  Google Scholar 

  • Saber YM, Alsharari F, Smarandache F (2020) On Single-valued neutrosophic ideals in Šostak sense. Symmetry 12:194

    Article  Google Scholar 

  • Saber YM, Alsharari F, Smarandache F, Abdel-Sattar A (2020) Connectedness and stratification of single-valued neutrosophic topological spaces. Symmetry 12:1464

  • Saber YM, Alsharari F, Smarandache F, Abdel-Sattar A (2022) On single valued neutrosophic regularity spaces. Comput Model Eng Sci 130(3):1625–1648

    Google Scholar 

  • Salama AA, Alblowi SA (2012) Neutrosophic set and neutrosophic topological spaces. IOSR J Math 3:31–35

  • Salama AA, Smarandache F (2015) Neutrosophic crisp set theory. The Educational Publisher Columbus, Columbus

    Google Scholar 

  • Şenel G (2016) A new approach to Hausdorff space theory via the soft sets. Math Probl Eng. https://doi.org/10.1155/2016/2196743

  • Şenel G (2017) The parameterization reduction of soft point and its applications with soft matrix. Int J Comput Appl. https://doi.org/10.5120/ijca2017913564

    Article  Google Scholar 

  • Shabir M, Naz M (2011) On soft topological spaces. Comput Math Appl 61(7):1786–1799

    Article  MathSciNet  Google Scholar 

  • Shang Y (2014) Average consensus in multi-agent systems with uncertain topologies and multiple time-varying delays. Linear Algebra Appl 459:411–429

    Article  MathSciNet  Google Scholar 

  • Smarandache, F. A Unifying field in logics: neutrosophic logic. neutrosophy, neutrosophic set, neutrosophic probability and statistics, 6th ed.; InfoLearnQuest: Ann Arbor, MI, USA, 2007. http://fs.gallup.unm.edu/eBook-neutrosophics6.pdf. Accessed on 10 February 2019

  • Šostak AP (1985) On a fuzzy topological structure. Rendiconti del Circolo Matematico di Palermo 1(11):89–103

    MathSciNet  MATH  Google Scholar 

  • Tanay B, Kandemir MB (2011) Topological structure of fuzzy soft sets. Comput Math Appl 61(10):2952–2957

    Article  MathSciNet  Google Scholar 

  • Tripathy BC, Acharjee S (2017) Some results on soft bitopology. Boletim da Sociedade Paranaense de Matematica 35(1):269–279

    Article  MathSciNet  Google Scholar 

  • Varol BP, Aygün H (2012) Fuzzy soft topology. Hacettepe J Math Stat 41(3):407–419

    MathSciNet  MATH  Google Scholar 

  • Wang H, Smarandache F, Zhang YQ, Sunderraman R (2010) Single valued neutrosophic sets. Multispace Multistruct 4:410–413

    MATH  Google Scholar 

  • Yang HL, Guo ZL, Liao X (2016) On single valued neutrosophic relations. J Intell Fuzzy Syst 30:1045–1056

    Article  Google Scholar 

  • Ye JA (2014) multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. J Intell Fuzzy Syst 26:2450–2466

    MathSciNet  Google Scholar 

  • Zhang X, Atef M, Khalil A (2021) On different types of single-valued neutrosophic covering rough set with application in decision-making. Math Probl Eng. https://doi.org/10.1155/2021/7362006

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Deanship of Scientific Research at Majmaah University for supporting this work under Project Number No: R-2022-125. The authors would also like to express their sincere thanks to the referees for their useful suggestions and comments.

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This research was supported by Majmaah University.

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Correspondence to Fahad Alsharari.

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Saber, Y., Alsharari, F. & Smarandache, F. An introduction to single-valued neutrosophic soft topological structure. Soft Comput 26, 7107–7122 (2022). https://doi.org/10.1007/s00500-022-07150-4

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