Skip to main content
Log in

N-soft sets and their decision making algorithms

  • Foundations
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

In this paper, we motivate and introduce the concept of N-soft set as an extended soft set model. Some useful algebraic definitions and properties are given. We cite real examples that prove that N-soft sets are a cogent model for binary and non-binary evaluations in numerous kinds of decision making problems. Finally, we propose decision making procedures for N-soft sets.

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

Access this article

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Source: https://www.kimovil.com, retrieved on July 5th, 2017

Fig. 5

Source: https://www.kimovil.com, retrieved on July 5, 2017

Similar content being viewed by others

References

  • Abbas SE, Ibedou I (2016) Fuzzy soft uniform spaces. Soft Comput (in press)

  • Akram M, Nawaz S (2015) Operations on soft graphs. Fuzzy Inf Eng 7(4):423–449

    Article  MathSciNet  MATH  Google Scholar 

  • Akram M, Shahzadi S (2016) Novel intuitionistic fuzzy soft multiple-attribute decision-making methods. Neural Comput Appl (in press)

  • Alcantud JCR (2015) Fuzzy soft set based decision making: a novel alternative approach. In: IFSA-EUSFLAT conference 2015, Atlantic Press, pp 106–111

  • Alcantud JCR (2016a) Fuzzy soft set decision making algorithms: some clarifications and reinterpretations. In: et al OL (ed) Advances in artificial intelligence. 17th Conference of the Spanish association for artificial intelligence, CAEPIA 2016, Springer-Verlag, pp 479–488

  • Alcantud JCR (2016b) A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set. Inf Fus 29:142–148

    Article  Google Scholar 

  • Alcantud JCR (2016c) Some formal relationships among soft sets, fuzzy sets, and their extensions. Int J Approx Reason 68:45–53

    Article  MathSciNet  MATH  Google Scholar 

  • Alcantud JCR, Laruelle A (2014) Dis and approval voting: a characterization. Soc Choice Welf 43(1):1–10

    Article  MathSciNet  MATH  Google Scholar 

  • Alcantud JCR, Santos-García G (2016) Incomplete soft sets: new solutions for decision making problems. Springer, Cham, pp 9–17

  • Alcantud JCR, Santos-García G (2017) A new criterion for soft set based decision making problems under incomplete information. Int J Comput Intell Syst 10:394–404

  • Alcantud JCR, de Andrés Calle R, Cascón JM (2013) On measures of cohesiveness under dichotomous opinions: some characterizations of approval consensus measures. Inf Sci 240:45–55

    Article  MathSciNet  MATH  Google Scholar 

  • Alcantud JCR, Santos-García G, Hernández-Galilea E (2015) Glaucoma diagnosis: a soft set based decision making procedure. Springer, Cham, pp 49–60

    Google Scholar 

  • Aleskerov F, Chistyakov VV, Kalyagin V (2010) The threshold aggregation. Econ Lett 107(2):261–262

    Article  MathSciNet  MATH  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  • Ali MI, Mahmood T, Rehman MMU, Aslam MF (2015) On lattice ordered soft sets. Appl Soft Comput 36:499–505

  • Alkhazaleh S, Salleh AR, Hassan N (2011) Soft multisets theory. Appl Math Sci 5:3561–3573

    MathSciNet  MATH  Google Scholar 

  • Babitha KV, John SJ (2013) Hesitant fuzzy soft sets. J New Results Sci 3:98–107

  • Bakanic V, McPhail C, Simon RJ (1987) The manuscript review and decision-making process. Am Sociol Rev 52:631–642

    Article  Google Scholar 

  • Basu K, Deb R, Pattanaik PK (1992) Soft sets: an ordinal formulation of vagueness with some applications to the theory of choice. Fuzzy Sets Syst 45(1):45–58

    Article  MathSciNet  MATH  Google Scholar 

  • Brunelli M, Fedrizzi M, Fedrizzi M (2014) Fuzzy m-ary adjacency relations in social network analysis: optimization and consensus evaluation. Inf Fus 17:36–45

    Article  Google Scholar 

  • Çetkin V, Aygün H (2016) On l-soft merotopies. Soft Comput 20(12):4779–4790

    Article  MATH  Google Scholar 

  • Chen S, Liu J, Wang H, Augusto JC (2013) Ordering based decision making a survey. Inf Fus 14(4):521–531

    Article  Google Scholar 

  • Deli I, Broumi S (2015) Neutrosophic soft matrices and nsm-decision making. J Intell Fuzzy Syst 28(5):2233–2241

    Article  MathSciNet  MATH  Google Scholar 

  • Deli I, Çağman N (2015) Intuitionistic fuzzy parameterized soft set theory and its decision making. Appl Soft Comput 28:109–113

    Article  Google Scholar 

  • Deli I, Eraslan S, Çağman N (2016) ivnpiv-neutrosophic soft sets and their decision making based on similarity measure. Neural Comput Appl (in press)

  • Deng T, Wang X (2013) An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets. Appl Math Model 37(6):4139–4146

    Article  MathSciNet  Google Scholar 

  • Dokow E, Holzman R (2010) Aggregation of non-binary evaluations. Adv Appl Math 45(4):487–504

    Article  MathSciNet  MATH  Google Scholar 

  • Fatimah F, Rosadi D, Hakim RBF, Alcantud JCR (2017a) Probabilistic soft sets and dual probabilistic soft sets in decision-making. Neural Comput Appl (in press)

  • Fatimah F, Rosadi D, Hakim RBF, Alcantud JCR (2017b) A social choice approach to graded soft sets. 2017 IEEE Int Conf Fuzzy Syst (FUZZ-IEEE). doi:10.1109/FUZZIEEE.2017.8015428

  • 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 

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

    Article  MathSciNet  MATH  Google Scholar 

  • Hakim RBF, Saari EN, Herawan T (2014a) On if-then multi soft sets-based decision making. In: et al L (ed) Information and communication technology, Springer Berlin Heidelberg, Berlin, No. 8407 in Lecture Notes in Computer Science, pp 306–315

  • Hakim RBF, Saari EN, Herawan T (2014b) Soft solution of soft set theory for recommendation in decision making. In: et al TH (ed) Recent advances on soft computing and data mining, Springer International Publishing, Switzerland, No. 287 in Advances in Intelligent Systems and Computing, pp 313–324

  • Han BH, Li YM, Liu J, Geng SL, Li HY (2014) Elicitation criterions for restricted intersection of two incomplete soft sets. Knowl-Based Syst 59:121–131

    Article  Google Scholar 

  • Handaga B, Deris MM (2012) Text categorization based on fuzzy soft set theory. Springer, Berlin, pp 340–352

    Google Scholar 

  • Herawan T, Deris MM (2009) On multi-soft sets construction in information systems. Springer, Berlin, pp 101–110

    MATH  Google Scholar 

  • Jiang Y, Tang Y, Chen Q, Liu H, Tang J (2010a) Interval-valued intuitionistic fuzzy soft sets and their properties. Comput Math Appl 60:906–918

    Article  MathSciNet  MATH  Google Scholar 

  • Jiang Y, Tang Y, Chen Q, Wang J, Tang S (2010b) Extending soft sets with description logics. Comput Math Appl 59(6):2087–2096

    Article  MathSciNet  MATH  Google Scholar 

  • Kong Z, Zhang G, Wang L, Wu Z, Qi S, Wang H (2014) An efficient decision making approach in incomplete soft set. Appl Math Model 38(78):2141–2150

    Article  MathSciNet  Google Scholar 

  • Li Z, Wen G, Xie N (2015) An approach to fuzzy soft sets in decision making based on greyrelational analysis and dempster shafer theory of evidence: an application in medical diagnosis. Artif Intell Med 64:161–171

    Article  Google Scholar 

  • Li Z, Xie N, Gao N (2017) Rough approximations based on soft binary relations and knowledge bases. Soft Comput 21(4):839–852

    Article  MATH  Google Scholar 

  • Liu Y, Qin K, Rao C, Mahamadu MA (2017) Object parameter approaches to predicting unknown data in an incomplete fuzzy soft set. Int J Appl Math Comput Sci 27:157–167

    Article  MathSciNet  MATH  Google Scholar 

  • Ma X, Liu Q, Zhan J (2017) A survey of decision making methods based on certain hybrid soft set models. Artif Intell Rev 47(4):507–530

    Article  Google Scholar 

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

    Google Scholar 

  • Maji PK, Biswas R, Roy AR (2001b) Intuitionistic fuzzy soft sets. J Fuzzy Math 9:677–692

    MathSciNet  MATH  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

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

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

    Article  MathSciNet  MATH  Google Scholar 

  • Muthukumar P, Krishnan GSS (2016) A similarity measure of intuitionistic fuzzy soft sets and its application in medical diagnosis. Appl Soft Comput 41:148–156

    Article  Google Scholar 

  • Pawlak Z (1994) Hard and soft sets. Springer, London, pp 130–135

    MATH  Google Scholar 

  • Peng X, Yang Y (2015a) Approaches to interval-valued intuitionistic hesitant fuzzy soft sets based decision making. Ann Fuzzy Math Inform 10(4):657–680

    MathSciNet  MATH  Google Scholar 

  • Peng X, Yang Y (2015b) Interval-valued hesitant fuzzy soft sets and their application in decision making. Fundam Inform 141(1):71–93

    Article  MathSciNet  MATH  Google Scholar 

  • Peng X, Liu C (2017) Algorithms for neutrosophic soft decision making based on edas, new similarity measure and level soft set. J Intell Fuzzy Syst 32(1):955–968

    Article  MATH  Google Scholar 

  • Qin H, Ma X, Herawan T, Zain JM (2011) Data filling approach of soft sets under incomplete information. In: Nguyen NT, Kim CG, Janiak A (eds) Intelligent information and database systems, vol 6592. lecture notes in computer science. Springer, Berlin, pp 302–311

    Chapter  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  • Sun B, Ma W, Li X (2017) Linguistic value soft set-based approach to multiple criteria group decision-making. Appl Soft Comput 58:285–296

    Article  Google Scholar 

  • Sutoyo E, Mungad M, Hamid S, Herawan T (2016) An efficient soft set-based approach for conflict analysis. PLoS ONE 13:1–31

    Google Scholar 

  • Wang C, Aj Qu (2015) The applications of vague soft sets and generalized vague soft sets. Acta Mathematicae Applicatae Sinica, English Series 31(4):977–990

    Article  MathSciNet  MATH  Google Scholar 

  • Wang F, Li X, Chen X (2014) Hesitant fuzzy soft set and its applications in multicriteria decision making. J Appl Math. doi:10.1155/2014/643785

    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

    Article  MathSciNet  MATH  Google Scholar 

  • Xu W, Ma J, Wang S, Hao G (2010) Vague soft sets and their properties. Comput Math Appl 59:787–794

    Article  MathSciNet  MATH  Google Scholar 

  • Yang X, Lin TY, Yang J, Li Y, Yu D (2009) Combination of interval-valued fuzzy set and soft set. Comput Math Appl 58(3):521–527

    Article  MathSciNet  MATH  Google Scholar 

  • Yang Y, Song J, Peng X, (2015) Comments on “An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets” [Appl. Math. Modell. 37, (2013) 4139–4146]. Appl Math Model 39(23):7746–7748

  • Zhan J, Zhu K (2015) Reviews on decision making methods based on (fuzzy) soft sets and rough soft sets. J Intell Fuzzy Syst 29:1169–1176

    Article  MathSciNet  MATH  Google Scholar 

  • Zhan J, Zhu K (2017) A novel soft rough fuzzy set: Z-soft rough fuzzy ideals of hemirings and corresponding decision making. Soft Comput 21(8):1923–1936

    Article  MATH  Google Scholar 

  • Zhan J, Ali MI, Mehmood N (2017a) On a novel uncertain soft set model: Z-soft fuzzy rough set model and corresponding decision making methods. Appl Soft Comput 56:446–457

  • Zhan J, Liu Q, Herawan T (2017b) A novel soft rough set: soft rough hemirings and corresponding multicriteria group decision making. Appl Soft Comput 54:393–402

    Article  Google Scholar 

  • Zhan J, Liu Q, Zhu W (2017c) Another approach to rough soft hemirings and corresponding decision making. Soft Comput 21(13):3769–3780

    Article  MATH  Google Scholar 

  • Zhan J, Dudek WA, Neggers J (2017d) A new soft union set: characterizations of hemirings. Int J Mach Learn Cybern 8:525–535

  • Zhang X (2014) On interval soft sets with applications. Int J Comput Intell Syst 7(1):186–196

    Article  Google Scholar 

  • Zhang Z, Wang C, Tian D, Li K (2014) A novel approach to interval-valued intuitionistic fuzzy soft set based decision making. Appl Math Model 38(4):1255–1270

    Article  MathSciNet  Google Scholar 

  • Zhou W, Xu ZS (2017) Probability calculation and element optimization of probabilistic hesitant fuzzy preference relations based on expected consistency. IEEE Trans Fuzzy Syst PP(99):1–1

  • Zhu P, Wen Q (2010) Probabilistic soft sets. IEEE Int Conf Granul Comput 51:635–638

    Google Scholar 

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

    Article  Google Scholar 

Download references

Acknowledgements

Part of this research was done, while the first author was invited at the Department of Economics and Economic History in Salamanca. Their hospitality is gratefully acknowledged. The constructive comments by an anonymous referee have helped us to improve the paper and are highly appreciated.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fatia Fatimah.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest regarding the publication of this article.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Communicated by A. Di Nola.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fatimah, F., Rosadi, D., Hakim, R.B.F. et al. N-soft sets and their decision making algorithms. Soft Comput 22, 3829–3842 (2018). https://doi.org/10.1007/s00500-017-2838-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-017-2838-6

Keywords

Navigation