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Soft int-group and its applications to group theory

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Abstract

In this paper, we define a soft intersection group (soft int-group) on a soft set. This new concept functions as a bridge among soft set theory, set theory and group theory and shows the effect of soft sets on a group structure in the sense of intersection and inclusion of sets. We then derive the basic properties of soft int-groups and give its applications to group theory.

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References

  1. Acar U, Koyuncu F, Tanay B (2010) Soft sets and soft rings. Comput Math Appl 59:3458–3463

    Article  MathSciNet  MATH  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  3. Aktaş H, Çağman N (2007) Soft sets and soft groups. Inform Sci 177:2726–2735

    Article  MathSciNet  MATH  Google Scholar 

  4. Atagün AO, Sezgin A (2011) Soft substructures of rings, fields and modules. Comput Math Appl 61(3):592–601

    Article  MathSciNet  MATH  Google Scholar 

  5. Aygünoglu A, Aygün H (2009) Introduction to fuzzy soft groups. Comput Math Appl 58:1279–1286

    Article  MathSciNet  MATH  Google Scholar 

  6. Çağman N, Enginoğlu S (2010) Soft set theory and uni-int decision making. Eur J Oper Res 207:848–855

    Article  MATH  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  8. Çağman N, Çıtak F, Enginoğlu S (2010) Fuzzy parameterized fuzzy soft set theory and its applications. Turkish J Fuzzy Syst 1:21–35

    Google Scholar 

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

    Google Scholar 

  10. Feng F, Liu XY, Leoreanu-Fotea V, Jun YB (2011) Soft sets and soft rough sets. Inform Sci 181(6):1125–1137

    MathSciNet  MATH  Google Scholar 

  11. Feng F, Li YM, Leoreanu-Fotea V (2010) Application of level soft sets in decision making based on interval-valued fuzzy soft sets. Comput Math Appl 60:1756–1767

    Article  MathSciNet  MATH  Google Scholar 

  12. Feng F, Li C, Davvaz B, Ali MI (2010) Soft sets combined with fuzzy sets and rough sets: a tentative approach. Soft Comput 14(9):899–911

    Article  MATH  Google Scholar 

  13. Feng F, Jun YB, Liu X, Li L (2010) An adjustable approach to fuzzy soft set based decision making. J Comput Appl Math 234:10–20

    Article  MathSciNet  MATH  Google Scholar 

  14. Feng F, Jun YB, Zhao X (2008) Soft semirings. Comput Math Appl 56:2621–2628

    Article  MathSciNet  MATH  Google Scholar 

  15. Jun YB (2008) Soft BCK/BCI-algebras. Comput Math Appl 56:1408–1413

    Article  MathSciNet  MATH  Google Scholar 

  16. Jun YB, Park CH (2008) Applications of soft sets in ideal theory of BCK/BCI-algebras. Inform Sci 178:2466–2475

    MathSciNet  MATH  Google Scholar 

  17. Jun YB, Kim HS, Neggers J (2009) Pseudo d-algebras. Inform Sci 179:1751–1759

    MathSciNet  MATH  Google Scholar 

  18. Jun YB, Lee KJ, Zhan J (2009) Soft p-ideals of soft BCI-algebras. Comput Math Appl 58:2060–2068

    Article  MathSciNet  MATH  Google Scholar 

  19. Jun YB, Lee KJ, Khan A (2010) Soft ordered semigroups. Math Logic Q 56(1):42–50

    Article  MathSciNet  MATH  Google Scholar 

  20. Jun YB, Lee KJ, Park CH (2010) Fuzzy soft set theory applied to BCK/BCI-algebras. Comput Math Appl 59:3180–3192

    Article  MathSciNet  MATH  Google Scholar 

  21. Kong Z, Gao L, Wang L, Li S (2008) The normal parameter reduction of soft sets and its algorithm. Comput Math Appl 56:3029–3037

    Article  MathSciNet  MATH  Google Scholar 

  22. Kovkov DV, Kolbanov VM, Molodtsov DA (2007) Soft sets theory-based optimization. J Comput Syst Sci Int 46(6):872–880

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  25. Majumdar P, Samanta SK (2010) Generalised fuzzy soft sets. Comput Math Appl 59:1425–1432

    Article  MathSciNet  MATH  Google Scholar 

  26. Molodtsov DA (1999) Soft set theory-first results. Comput Math Appl 37:19–31

    Article  MathSciNet  MATH  Google Scholar 

  27. Molodtsov DA, Leonov VY, Kovkov DV (2006) Soft sets technique and its application. Nechetkie Sistemi i Myakie Vychisleniya 1(1):8–39

    Google Scholar 

  28. Mushrif MM, Sengupta S, Ray AK (2006) Texture classification using a novel, soft-set theory based classification, algorithm. Lect Notes Comput Sci 3851:246–254

    Article  Google Scholar 

  29. Park CH, Jun YB, Öztürk MA (2008) Soft WS-algebras. Commun Korean Math Soc 23(3):313–324

    Article  MathSciNet  MATH  Google Scholar 

  30. Roy AR, Maji PK (2007) A fuzzy soft set theoretic approach to decision making problems. J Comput Appl Math 203:412–418

    Article  MATH  Google Scholar 

  31. Sezgin A, Atagün AO (2011) On operations of soft sets. Comput Math Appl 61(5):1457–1467

    Article  MathSciNet  MATH  Google Scholar 

  32. Sezgin A, Atagün AO, Aygün E (2011) A note on soft near-rings and idealistic soft near-rings. Filomat 25(1):53–68

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  34. Zhan J, Jun YB (2010) Soft BL-algebras based on fuzzy sets. Comput Math Appl 59:2037–2046

    Article  MathSciNet  MATH  Google Scholar 

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

    Article  Google Scholar 

Download references

Acknowledgments

The authors are grateful for financial support from the Research Fund of Gaziosmanpaşa University under grand no: 2011-36.

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Correspondence to Naim Çağman.

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Çağman, N., Çıtak, F. & Aktaş, H. Soft int-group and its applications to group theory. Neural Comput & Applic 21 (Suppl 1), 151–158 (2012). https://doi.org/10.1007/s00521-011-0752-x

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  • DOI: https://doi.org/10.1007/s00521-011-0752-x

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