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New types of soft rough sets in groups based on normal soft groups

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Abstract

Hybridization of soft sets and rough sets is an important way to deal with uncertainties. This paper aims to study the concept of roughness in soft sets over groups. In this regard, a pair of two soft sets, viz. soft lower and soft upper approximation spaces, are introduced by applying the normal soft groups corresponding to each parameter. Some important results related to these soft approximation spaces over groups are studied with examples. Furthermore, this paper presents a relationship between the soft approximation spaces based on the soft image and soft pre-image of a normal soft group via group homomorphisms. This work can be applicable in the field of information technology to connect two information systems.

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References

  • Aktaş H, Çağman N (2007) Soft sets and soft groups. Inf Sci 177(13):2726–2735

    MathSciNet  MATH  Google Scholar 

  • Ali MI, Feng F, Lin X, Min W, Shabir M (2009) On some new operations in soft set theory. Comput Math Appl 57(9):1547–1553

    MathSciNet  MATH  Google Scholar 

  • Ali MI, Shabir and Samina M (2014) Application of L-fuzzy soft sets to semirings. J Intell Fuzzy Syst 27(4):1731–1742

    MathSciNet  MATH  Google Scholar 

  • Ali MI, Shabir M, Tanveer S (2012) Roughness in hemirings. Neural Comput Appl 21(1):171–180

    Google Scholar 

  • Aslam M, Qurashi SM (2012) Some contributions to soft groups. Ann Fuzzy Math Inf 1(4):177–195

    MathSciNet  MATH  Google Scholar 

  • Ayub S, Mahmood W, Nabi FG, Shabir M (2019) Application of roughness in soft-intersection groups. J Comput Appl Math. https://doi.org/10.1007/s40314-019-0978-2

    Article  MathSciNet  MATH  Google Scholar 

  • Biswas R, Nanda S (1994) Rough groups and rough subgroups. Bull Polish Acad Sci Math 42(3):251–254

    MathSciNet  MATH  Google Scholar 

  • Çağman N, Çitak F, Aktaş H (2012) Soft int-group and its applications to group theory. Neural Comput Appl 21(1):151–158

    Google Scholar 

  • Chen Z, Ayub S, Mahmood W, Mahmood A, Jung CY (2019) A study of roughness in modules of fractions. IEEE Access 7:93088–93099

    Google Scholar 

  • Cheng W, Mo Z-W, Wang J (2007) Notes on “the lower and upper approimations in a fuzzy group and rough ideals in semigroups”. Inf Sci 177:5134–5140

    MATH  Google Scholar 

  • Davvaz B, Mahdavipour M (2006) Roughness in modules. Inf Sci 176(24):3658–3674

    MathSciNet  MATH  Google Scholar 

  • Dubios D, Prade H (1990) Rough fuzzy sets and fuzzy rough sets. Int J Gen Syst 17(2–3):191–209

    MATH  Google Scholar 

  • Feng F, Ali MI, Shabir M (2013) Soft relations applied to semigroups. Filomat 27(7):1183–1196

    MathSciNet  MATH  Google Scholar 

  • Feng F, Jun YB, Zhao X (2008) Soft semirings. Comput Math Appl 56(10):2621–2628

    MathSciNet  MATH  Google Scholar 

  • Feng F, Li Y (2013) Soft subsets and soft product operations. Inf Sci 232:44–57

    MathSciNet  MATH  Google Scholar 

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

    MATH  Google Scholar 

  • Ghosh J, Samanta TK (2013) Rough soft sets and rough soft groups. J Hyperstruct 2(1):18–29

    MATH  Google Scholar 

  • Jiang H, Zhan J, Chen D (2019) Covering based variable precision (I, T)-fuzzy rough sets with applications to multi-attribute decision-making. IEEE Trans Fuzzy Syst 27:1558–1572

    Google Scholar 

  • Kuroki N, Wang PP (1996) The lower and upper approximations in a fuzzy group. Inf Sci 90(1–4):203–220

    MathSciNet  MATH  Google Scholar 

  • Kuroki N (1997) Rough ideals in semigroups. Inf Sci 100(1–4):139–163

    MathSciNet  MATH  Google Scholar 

  • Li Z, Zheng D, Hao J (2012) L-fuzzy soft sets based on complete Boolean lattices. Comput Math Appl 64(8):2558–2574

    MathSciNet  MATH  Google Scholar 

  • Ma X, Zhan J, Ali MI, Mehmood N (2018) A survey of decision making methods based on two classes of hybrid soft set models. Artif Intell Rev 49(4):511–529

    Google Scholar 

  • Mahmood W, Nazeer W, Kang SM (2017) The lower and upper approximations and homomorphisms between lower approximations in quotient groups. J Intell Fuzzy Syst 33(4):2585–2594

    MATH  Google Scholar 

  • Mahmood W, Nazeer W, Kang SM (2018) A comparision between lower and upper approximations in groups with respect to group homomorphisms. J Intell Fuzzy Syst 35(1):693–703

    Google Scholar 

  • Mahmood T, Shabir M, Ayub S, Bashir S (2017) Regular and intra-regular semihypergroups in terms of L-fuzzy soft sets. J Appl Environ Biol Sci 11(7):115–137

    Google Scholar 

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

    MathSciNet  MATH  Google Scholar 

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

    MathSciNet  MATH  Google Scholar 

  • Malik DS, Mordeson JN, Sen MK (2007) Introduction to abstract algebra, pp 277

  • Miao D, Han S, Sun L (2005) Rough group, rough subgroup and their properties. Proceedings of RSFDGrC. (D. \(\grave{S}\)lezak et., cd.) Springer, Berlin, pp 104–113

  • Moinuddin K (2017) Rough soft sets: a novel approach. Int J Comput Appl Math 12(2):537–543

    Google Scholar 

  • Molodtsov D (1999) Soft set theory first results. Comput Math Appl 37(4–5):19–31

    MathSciNet  MATH  Google Scholar 

  • Pan W, Zhan J (2016) Rough fuzzy groups and rough soft groups. Italy J Pure Appl Math 36:617–628

    MathSciNet  MATH  Google Scholar 

  • Pan W, Zhan J (2017) Soft rough groups and corresponding decision making. Italy J Pure Appl Math 38:158–171

    MathSciNet  MATH  Google Scholar 

  • Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11(5):341–356

    MATH  Google Scholar 

  • Sezgin A, Atagun AO (2011) Soft groups and normalistic soft groups. Comput Math Appl 62(2):685–698

    MathSciNet  MATH  Google Scholar 

  • Shabir M, Ali MI, Shaheen T (2013) Another approach to soft rough sets. Knowl Based Syst 40:72–78

    Google Scholar 

  • Shabir M, Ayub S, Bashir S (2017) Application of L-fuzzy soft sets in semihypergroups. J Adv Math Stud 10(3):367–385

    MathSciNet  MATH  Google Scholar 

  • Shabir M, Ayub S, Bashir S (2017) Prime and semiprime L-fuzzy soft bi-hyperideals. J Hyperstruct 2(6):102–119

    MathSciNet  MATH  Google Scholar 

  • Wang C, Chen D (2010) A short note on some properties of rough groups. Comput Math Appl 59(1):431–436

    MathSciNet  MATH  Google Scholar 

  • Wang Z, Shu L (2012) The lower and upper approximations in a group. World Acad Sci Eng Technol Int Scholar Sci Res Innovat 6(8):2020–2024

    Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    MATH  Google Scholar 

  • Zhan J, Liu Q, Davvaz B (2015) A new rough set theory: rough soft hemirings. J Intell Fuzzy Systems 28(4):1687–1697

    MathSciNet  MATH  Google Scholar 

  • Zhan J, Sun B, Alcantud JCR (2019) Covering based multigranulation (I, T)-fuzzy rough set models and applications in multi-attribute group decision-making. Inf Sci 476:290–318

    MathSciNet  Google Scholar 

  • Zhan J, Xu W (2018) Two types of coverings based multigranulation rough fuzzy sets and applications to decision making. Artif Intell Rev. https://doi.org/10.1007/s10462-018-9649-8

    Article  Google Scholar 

  • Zhang L, Zhan J, Alcantud JCR (2019) Novel classes of fuzzy soft -coverings-based fuzzy rough sets with applications to multi-criteria fuzzy group decision making. Soft Comput 23:5327–5351

    MATH  Google Scholar 

  • Zhang L, Zhan J, Alcantund JCR (2019) Covering-based general multigranulation intuitionistic fuzzy rough sets and corresponding applications to multi-attribute group decision-making. Inf Sci 494:114–140

    Google Scholar 

  • Zhang K, Zhan J, Wu W-Z (2019) Novel fuzzy rough set models and corresponding applications to multi-criteria decision-making. Fuzzy sets Syst. https://doi.org/10.1016/j.fss.2019.06.019

    Article  Google Scholar 

  • Zhang L, Zhan J, Xu Z (2019) Covering-based generalized IF rough sets with applications to multi-attribute decision-making. Inf Sci 478:275–302

    MathSciNet  Google Scholar 

  • Zhang K, Zhan J, Yao Y (2019) TOPSIS method based on a fuzzy covering approximation space: an application to biological nano-materials selection. Inf Sci 502:297–329

    Google Scholar 

Download references

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Correspondence to Saba Ayub.

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Communicated by Marcos Eduardo Valle.

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Ayub, S., Shabir, M. & Mahmood, W. New types of soft rough sets in groups based on normal soft groups. Comp. Appl. Math. 39, 67 (2020). https://doi.org/10.1007/s40314-020-1098-8

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  • DOI: https://doi.org/10.1007/s40314-020-1098-8

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