Skip to main content
Log in

Roughness of a set by \((\alpha , \beta )\)-indiscernibility of Bipolar fuzzy relation

  • Published:
Computational and Applied Mathematics Aims and scope Submit manuscript

Abstract

In this article, we introduce a new technique for roughness of a set based on \((\alpha , \beta )\)-indiscernibility, that is, objects are indiscernible up to certain degrees \(\alpha \) and \(\beta \). For this purpose, a bipolar fuzzy tolerance relation has been used. Also we investigate some fundamental properties of these approximations. Finally, we give the notions of accuracy measure and roughness measure for \((\alpha , \beta )\)-bipolar fuzzified rough set.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

References

  • Akram M (2011) Bipolar fuzzy graphs. Inf Sci 181:5548–5564

    MathSciNet  MATH  Google Scholar 

  • Akram M (2013a) Bipolar fuzzy graphs with applications. Knowl Based Syst 39:1–8

    MATH  Google Scholar 

  • Akram M (2013b) Bipolar fuzzy soft Lie algebras. Quasigroups Relat Sys 21:1–10

    MathSciNet  MATH  Google Scholar 

  • Akram M, Nawaz S (2015a) Operations on soft graphs. Fuzzy Inf Eng 7:423–449

    MathSciNet  MATH  Google Scholar 

  • Akram M, Nawaz S (2015b) On fuzzy soft graphs. Ital J Pure Appl Math 34:497–514

    MathSciNet  MATH  Google Scholar 

  • Akram M, Nawaz S (2016) Fuzzy soft graphs with applications. J intell Fuzzy Syst 30:3619–3632

    MATH  Google Scholar 

  • Akram M, Sarwar M (2018) Bipolar fuzzy circuits with applications. J Intell Fuzzy Syst 34(1):547–558

    MATH  Google Scholar 

  • Akram M, Saeid AB, Shum KP, Meng BL (2010) Bipolar Fuzzy K-algebras. Int J Fuzzy Syst 12(3):252–258

    MathSciNet  Google Scholar 

  • Akram M, Feng F, Saeid AB, Leoreanu-Fotea V (2018) A new multiple criteria decision-making method based on bipolar fuzzy soft graphs. Iran J Fuzzy Syst 15(4):73–92

    MathSciNet  MATH  Google Scholar 

  • Akram M, Saleem D, Al-Hawary T (2020) Spherical fuzzy graphs with application to decision-making. Math Comput Appl 25(8):1–32

    MathSciNet  Google Scholar 

  • Alcantud JCR, Varela G, Santos-Buitrago B, Santos-García G, Jiménez MF (2019) Analysis of survival for lung cancer resections cases with fuzzy and soft set theory in surgical decision making. PLOS One 14(6):e0218283

    Google Scholar 

  • Ali MI (2011) A note on soft sets, rough sets and fuzzy soft sets. Appl Soft Comput 11:3329–3332

    Google Scholar 

  • Ali MI, Feng F, Liu X, Minc WK, Shabir M (2009) On some new operations in soft set theory. Comput Math Appl 57:1547–1553

    MathSciNet  MATH  Google Scholar 

  • Ali MI, Shabir M, Naz M (2011) Algebraic structures of soft sets associated with new operations. Comput Math Appl 61:2647–2654

    MathSciNet  MATH  Google Scholar 

  • Aslam M, Abdullah S, Ullah K (2013) Bipolar fuzzy soft sets and its applications in decision making problem. arXiv:1303.6932v1 [cs.AI] 23

  • Bashir S, Fatima M, Shabir M (2019) Regular ordered ternary semigroups in terms of bipolar fuzzy ideals. Mathematics 7:233. https://doi.org/10.3390/math7030233

    Article  Google Scholar 

  • Çağman N, Enginoğlu S (2010) Soft matrix theory and its decision making. Comput Math Appl 59(10):3308–3314

    MathSciNet  MATH  Google Scholar 

  • Çağman N, Enginoğlu S, Erdoğan F (2011) Fuzzy soft set theory and its applications. Iran J Fuzzy Syst 8(3):137–147

    MathSciNet  MATH  Google Scholar 

  • Çelik Y, Yamak S (2013) Fuzzy soft set theory applied to medical diagnosis using fuzzy arithmetic operations. J Inequal Appl 82

  • 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

    MATH  Google Scholar 

  • Feng F, Liu X, Leoreanu-Fotea V, Jun YB (2011) Soft sets and soft rough sets. Inf Sci 181:1125–1137

    MathSciNet  MATH  Google Scholar 

  • Gogoi K, Dutta AK, Chutia C (2014) Application of fuzzy soft set theory in day to day problems. Int J Comput Appl 85(7):0975–8887

    Google Scholar 

  • Han Y, Shi P, Chen S (2015) Bipolar-valued rough fuzzy set and its applications to the decision information system. IEEE Trans Fuzzy Syst 23(6):2358–2370

    Google Scholar 

  • Herwan T (2010) Soft set-based decision making for patients suspected influenza-like illness. Int J Mod Phys 1(1):1–5

    Google Scholar 

  • Jiang Y, Tang Y, Chen Q (2011) An adjustable approach to intuitionistic fuzzy soft sets based decision making. Appl Math Model 35:824–836

    MathSciNet  MATH  Google Scholar 

  • Kalayathankal SJ, Singh GS (2010) A fuzzy soft flood alarm model. Math Comput Simul 80(5):887–897

    MathSciNet  MATH  Google Scholar 

  • Kanwal RS, Shabir M (2018) Approximation of a fuzzy set by soft relation and corresponding decision making, pp 1–25

  • Karaaslan F (2016) Bipolar Soft Rough Relations, Communications de la Faculté des Sciences de \(\acute{1}\) Université d́Ankara. Séries A1. Math Stat 65(1), 105–126

  • Karaaslan F, Çağman N (2018) Bipolar soft rough sets and their applications in decision making, African Mathematical Union and Springer-Verlag GmbH Deutschland, ein Teil von Springer. Nature 29:823–839

    MATH  Google Scholar 

  • Karaaslan F, Karataş S (2014) A new approach to bipolar soft sets and its applications. arXiv:1406.2274v1 [math.GM] 6 Jun 2014

  • Kirişci M (2019) A case study for medical decision making with the fuzzy soft sets. Afrika Matematika 1–8

  • Li Z, Xie T (2015) Roughness of fuzzy soft sets and related results. Int J Comput Intell Syst 8(2):278–296

    Google Scholar 

  • Li Z, Qin B, Cai Z (2013) Soft rough approximation operators and related results. J Appl Math:1–15

  • Liu Z, Alcantud JCR, Qin K, Pei Z (2019) The relationship between soft sets and fuzzy sets and its application. J Intell Fuzzy Syst 36(4):3751–3764

    Google Scholar 

  • Luqman A, Akram m, Al-Kenani AN, Alcantud JCR (2019) A study on hypergraph representations of complex fuzzy information. Symmetry 11(11):1–27

    Google Scholar 

  • Maji PK, Biwas R, Roy AR (2001) Fuzzy soft sets. J Fuzzy Math 9:589–602

    MathSciNet  MATH  Google Scholar 

  • Maji PK, Biswas R, Roy AR (2003) Soft set theory. Comput Math Appl 45:555–562

    MathSciNet  MATH  Google Scholar 

  • Malik N, Shabir M (2019) Rough fuzzy bipolar soft sets and application in decision-making problems. Soft Comput 23:1603–1614

    MATH  Google Scholar 

  • Meng D, Zhang X, Qin K (2011) Soft rough fuzzy sets and soft fuzzy rough sets. Comput Math Appl 62:4635–4645

    MathSciNet  MATH  Google Scholar 

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

    MathSciNet  MATH  Google Scholar 

  • Naz M, Shabir M (2013) On bipolar soft sets. arXiv:1303.1344v1 [math.LO]

  • Naz M, Shabir M (2014) On fuzzy bipolar soft sets, their algebraic structures and applications. J Intell Fuzzy Syst 26(4):555–562

    MathSciNet  MATH  Google Scholar 

  • Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11:341–356

    MATH  Google Scholar 

  • Rashmanlou H, Samanta S, Pal M, Borzooei RA (2015) Bipolar fuzzy graphs with categorical properties. Int J Comput Intell Syst 8(5):808–818

    MATH  Google Scholar 

  • Rosenfeld A (1975) Fuzzy graphs. In: Zadeh LA, Fu KS, Shimura M (eds) Fuzzy sets and their applications. Academic Press, New York, pp 77–95

    Google Scholar 

  • Roy SK, Bera S (2015) Approximation of Rough Soft Set and its application to Lattice. Fuzzy Inf Eng 7:379–387

    MathSciNet  Google Scholar 

  • Samanta S, Pal M (2014) Some more results on bipolar fuzzy sets and bipolar fuzzy intersection graphs. J Fuzzy Math 4:253–262

    MATH  Google Scholar 

  • Sarwar M, Akram M (2017) Novel concepts bipolar fuzzy competition graphs. J Appl Math Comput 54(1–2):511–547

    MathSciNet  MATH  Google Scholar 

  • Shabir M, Shaheen T (2017) A new methodology for fuzzification of rough sets based on \(\alpha \)-indiscernibility. Fuzzy Sets Syst 312:1–16

    MathSciNet  MATH  Google Scholar 

  • Shabir M, Ali MI, Shaheen T (2013) Another approach to soft rough sets. Knowl Based Syst 40:72–80

    Google Scholar 

  • Shahzadi G, Akram M (2019) Hypergraphs based on pythagorean fuzzy soft model. Math Comput Appl 100(24):1–21

    MATH  Google Scholar 

  • Singh PK, Kumar ACh (2014) Bipolar fuzzy graph representation of concept lattice. Inf Sci 288:437–448

    MathSciNet  MATH  Google Scholar 

  • Xiao F (2018) A hybrid fuzzy soft sets decision making method in medical diagnosis. IEEE Acess 6:25300–25312

    Google Scholar 

  • Xiao Z, Gong K, Zou Y (2009) A combined forecasting approach based on fuzzy soft sets. J Comput Appl Math 228:326–333

    MathSciNet  MATH  Google Scholar 

  • Yang HL, Li SG, Yang WH, Lu Y (2013) Notes on “Bipolar fuzzy graphs”. Inf Sci 242:113–121

    MathSciNet  MATH  Google Scholar 

  • Yao Y (2010) Notes on rough set approximations and associated measures. J Zhejiang Ocean Univ (Natural Science) 29(5):399–410

    Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    MATH  Google Scholar 

  • Zhang WR (1994) Bipolar fuzzy sets and relations: A computational framework for cognitive modeling and multiagent decision analysis. In: Proceedings of the industrial fuzzy control and intelligent systems conference, and the nasa joint technology workshop on neural networks and fuzzy logic and fuzzy information processing society biannual conference, San Antonio, TX, USA, pp 305–309

  • Zhu P, Wen Q (2013) Operations on soft sets revisited. J Appl Math 2013:105752

  • Zou Y, Xiao Z (2008) Data analysis approaches of soft sets under incomplete information. Knowl-Based Syst 21(8):941–945

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rizwan Gul.

Additional information

Communicated by Leonardo Tomazeli Duarte.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gul, R., Shabir, M. Roughness of a set by \((\alpha , \beta )\)-indiscernibility of Bipolar fuzzy relation. Comp. Appl. Math. 39, 160 (2020). https://doi.org/10.1007/s40314-020-01174-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40314-020-01174-y

Keywords

Mathematics Subject Classification