Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

The algebraic and lattice structures of type-2 intuitionistic fuzzy sets

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

Abstract

Type-2 intuitionistic fuzzy sets are proposed as functions from non empty set U to \({\mathbf {T}}^{\mathbf {T}}\) where \({\mathbf {T}}=\{(\mu ,\nu ):\mu +\nu \le 1,\mu \ge 0,\nu \ge 0\}\) and \({\mathbf {T}}^{\mathbf {T}}\) is the set of all mappings from \({\mathbf {T}}\) to \({\mathbf {T}}\). The members of \({\mathbf {T}}^{\mathbf {T}}\) are called intuitionistic fuzzy values (IFV). In this paper, we develop a mathematical framework for IFVs by defining a set of generalized operations on \({\mathbf {T}}^{\mathbf {T}}\) and proved it to be an algebra. The other important properties like convexity, normality of IFVs and many important subalgebras are also explored and studied. Furthermore, two partial orders based on generalized operations are defined, which enable us to study the lattices in \({\mathbf {T}}^{\mathbf {T}}\).

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abdullah L, Adawiyah CWR, Kamal CW (2018) A decision making method based on interval type-2 fuzzy sets: an approach for ambulance location preference. Appl Comput Inf 14:65–72

    Google Scholar 

  • Afshar MR, Alipouri Y, Sebt MH, Chan WT (2017) A type-2 fuzzy set model for contractor prequalification. Autom Constr 84:356–366

    Google Scholar 

  • Aggarwala A, Chandrab S, Mehrab A (2014) Solving matrix games with I-fuzzy payoffs: pareto-optimal security strategies approach. Fuzzy Inf Eng 6(2):167–192

    MathSciNet  Google Scholar 

  • An J, Li D (2019) A linear programming approach to solve constrained bi-matrix games with intuitionistic fuzzy payoffs. Int J Fuzzy Syst 21(3):908–915

    MathSciNet  Google Scholar 

  • Atanassov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96

    MATH  Google Scholar 

  • Bashir Z, Watrobski J, Rashid T, Salabun W, Ali J (2017) Intuitionistic-fuzzy goals in zero-sum multi criteria matrix games. Symmetry 9:158

    MathSciNet  MATH  Google Scholar 

  • Bashir Z, Rashid T, Watrobski J, Salabun W, Malik A (2018) Hesitant probabilistic multiplicative preference relations in group decision making. Appl Sci 8:398

    Google Scholar 

  • Chao L, Tan C, Wang X, Zheng Y (2019) An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction. Appl Soft Comput J 78:150–163

    Google Scholar 

  • Chen TY (2014) Interval-valued intuitionistic fuzzy QUALIFLEX method with a likelihood-based comparison approach for multiple criteria decision analysis. Inf Sci 261:149–169

    MathSciNet  MATH  Google Scholar 

  • Coupland S, John R (2007) Geometric type-1 and type-2 fuzzy logic systems. IEEE Trans Fuzzy Syst 15(1):3–15

    MATH  Google Scholar 

  • Coupland S, John R (2008) A fast geometric method for defuzzification of type-2 fuzzy sets. IEEE Trans Fuzzy Syst 16(4):929–941

    Google Scholar 

  • Coupland S, Gongora M, John R, Wills K (2006) A comparative study of fuzzy logic controllers for autonomous robots. In: Proc. IPMU, Paris, France, July, pp 1332–1339

  • Dong Y, Xu H, Fan S (2019) Memory-based stag hunt game on regular lattices. Physica A 519:247–255

    MathSciNet  Google Scholar 

  • Eyoh I, John R, Maere GD, Kayacan E (2018) Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems. IEEE Trans Fuzzy Syst 26(5):2672–2685

    Google Scholar 

  • Feng Z, Hanqiang L, Jiulun F, Wen CC, Rong L, Na L (2018) Intuitionistic fuzzy set approach to multi-objective evolutionary clustering with multiple spatial information for image segmentation. Neurocomputing 312:296–309

    Google Scholar 

  • Goguen JA (1967) L-fuzzy sets. J Math Anal Appl 18(1):145–174

    MathSciNet  MATH  Google Scholar 

  • Hua J, Pan L, Yang Y, Chen H (2019) A group medical diagnosis model based on intuitionistic fuzzy soft sets. Appl Soft Comput 77:453–466

    Google Scholar 

  • Kumar D, Verma H, Mehra A, Agrawal RK (2019) A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image. Multimed Tools Appl 78(10):12663–12687

    Google Scholar 

  • Linda O, Manic M (2012) General type-2 fuzzy C-means algorithm for uncertain fuzzy clustering. IEEE Trans Fuzzy Syst 20(5):883–897

    Google Scholar 

  • Liu F (2008) An efficient centroid type-reduction strategy for general type-2 fuzzy logic system. Inf Sci 178:2224–2236

    MathSciNet  Google Scholar 

  • Lu J, Li D, Zhai Y, Li H, Bai H (2016) A model for type-2 fuzzy rough sets. Inf Sci 328:359–377

    MATH  Google Scholar 

  • Luo M, Zhao R (2018) A distance measure between intuitionistic fuzzy sets and its application in medical diagnosis. Artif Intell Med 89:34–39

    Google Scholar 

  • Mendel J, John R (2002) Type-2 fuzzy sets made simple. IEEE Trans Fuzzy Syst 10(2):117–127

    Google Scholar 

  • Mendel LM, John RI, Liu F (2006) Interval type-2 fuzzy logic systems made simple. IEEE Trans Fuzzy Syst 14(6):808–821

    Google Scholar 

  • Mendel J, Liu F, Zhai D (2009) \(\alpha \)-Plane representation for type-2 fuzzy sets: theory and applications. IEEE Trans Fuzzy Syst 17(5):1189–1207

    Google Scholar 

  • Mizumoto M, Tanaka K (1976) Some properties of fuzzy sets of type-2. Inf Control 31:312–340

    MathSciNet  MATH  Google Scholar 

  • Mizumoto M, Tanaka K (1981) Fuzzy sets of type-2 under algebraic product and algebraic sum. Fuzzy Sets Syst 5:277–290

    MathSciNet  MATH  Google Scholar 

  • Ngan RT, Ali M, Son LH (2018) \(\delta \)-equality of intuitionistic fuzzy sets: a new proximity measure and applications in medical diagnosis. Appl Intell 48(2):499–525

    Google Scholar 

  • Peng H, Wang X, Wang T, Wang J (2019) Multi-criteria game model based on the pairwise comparisons of strategies with Z-numbers. Appl Soft Comput 74:451–465

    Google Scholar 

  • Roy SK, Bhaumik A (2018) Intelligent water management: a triangular type-2 intuitionistic fuzzy matrix games approach. Water Resour Manag 32:949–968

    Google Scholar 

  • Shu F, Liu X, Fang K, Chen H (2018) Memory-based snowdrift game on a square lattice. Phys A Stat Mech Appl 496:15–26

    MathSciNet  Google Scholar 

  • Singh S, Garg H (2017) Distance measures between type-2 intuitionistic fuzzy sets and their application to multicriteria decision-making process. Appl Intell 46(4):788–799

    Google Scholar 

  • Takáč Z (2013) Type-2 aggregation operators. In: Proc. of EUSFLAT 2013, Milán, Italy, pp 165–170

  • Takáč Z (2014) Aggregation of fuzzy truth values. Inf Sci 271:1–13

    MathSciNet  MATH  Google Scholar 

  • Tan C (2011) A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS. Expert Syst Appl 38:3023–3033

    Google Scholar 

  • Torra V (2010) Hesitant fuzzy sets. Int J Intell Syst 25(6):529–539

    MATH  Google Scholar 

  • Torres-Blanc C, Cubillo S, Hernández P (2017) Aggregation operators on type-2 fuzzy sets. Fuzzy Sets Syst 324:74–90

    MathSciNet  MATH  Google Scholar 

  • Walker C, Walker E (2005) The algebra of fuzzy truth values. Fuzzy Sets Syst 149:309–347

    MathSciNet  MATH  Google Scholar 

  • Wan S, Dong J (2014) A possibility degree method for interval-valued intuitionistic fuzzy multi-attribute group decision making. J Comput Syst Sci 80:237–256

    MathSciNet  MATH  Google Scholar 

  • Xu Z, Zhou W (2017) Consensus building with a group of decision makers under the hesitant probabilistic fuzzy environment. Fuzzy Optim Decis Mak 16(4):481–503

    MathSciNet  MATH  Google Scholar 

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

    MATH  Google Scholar 

  • Zadeh L (1975) The concept of a linguistic variable and its application to approximate reasoning-I. Inf Sci 8:199–249

    MathSciNet  MATH  Google Scholar 

  • Zhao T, Xiao J (2012) Type-2 intuitionistic fuzzy sets. Kongzhi Lilun Yu Yingyong Control Theory Appl 29:1215–1222

    Google Scholar 

  • Zhao F, Chen Y, Liu H, Fan J (2019) Alternate PSO-based adaptive interval type-2 intuitionistic fuzzy C-means clustering algorithm for color image segmentation. IEEE Access 7:64028–64039

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the editors and the anonymous reviewers, whose insightful comments and constructive suggestions helped us to significantly improve the quality of this paper.

Funding

This study is not funded.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tabasam Rashid.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Consent

It is submitted with the consent of all the authors.

Additional information

Communicated by Marcos Eduardo Valle.

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

Bashir, Z., Malik, M.G.A., Afridi, F. et al. The algebraic and lattice structures of type-2 intuitionistic fuzzy sets. Comp. Appl. Math. 39, 26 (2020). https://doi.org/10.1007/s40314-019-1008-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40314-019-1008-0

Keywords

Mathematics Subject Classification