Log in

TODIM-based multi-criteria decision-making method with hesitant fuzzy linguistic term sets

  • Published:
Artificial Intelligence Review Aims and scope Submit manuscript

Abstract

As a popular tool for modeling the qualitative assessment information, the hesitant fuzzy linguistic term sets (HFLTSs) can allow the decision makes or experts to give several possible linguistic terms to rate the objects with respect to the criterion. Although there exist many multi-criteria decision-making methods put forward for handling the HFLTSs, they were developed based on the assumption that the decision makers can always provide completely rational assessments and they do not take the decision makers’ psychological behaviors into consideration. In this paper, the traditional TODIM (an acronym in Portuguese for interactive multi-criteria decision making) method is extended to handle the HFLTSs based on the novel comparison function and distance measure. Firstly, we put forward a novel function for comparing two HFLTSs more effectively. After that, a novel hesitance degree function as well as some novel distance measures are given for HFLTSs. Then we apply them to extend the traditional TODIM method for solving the HFLTSs. Finally, a practical example concerning the evaluation and ranking of several satellite launching centers is provided to illustrate the validity and applicability of the proposed method.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /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 includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Anisseh M, Piri F, Shahraki MR, Agamohamadi F (2012) Fuzzy extension of TOPSIS model for group decision making under multiple criteria. Artif Intell Rev 38(4):325–338

    Google Scholar 

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96

    MATH  Google Scholar 

  • Beg I, Rashid T (2013) TOPSIS for hesitant fuzzy linguistic term sets. International Journal of Intelligent Systems 28(12):1162–1171

    Google Scholar 

  • Budak A, Ustundag A (2015) Fuzzy decision making model for selection of real time location systems. Appl Soft Comput 36:177–184

    Google Scholar 

  • Camerer C (1998) Bounded rationality in individual decision making. Exp Econ 1(2):163–183

    MATH  Google Scholar 

  • Duckstein L, Opricovic S (1980) Multiobjective optimization in river basin development. Water Resour Res 16(1):14–20

    Google Scholar 

  • Gomes LFAM, Lima MMPP (1992) TODIM: basics and application to multicriteria ranking of projects with environmental impacts. Found Comput Decis Sci 16(4):113–127

    MATH  Google Scholar 

  • Herrera F, Martinez L (2000) A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans Fuzzy Syst 8(6):746–752

    Google Scholar 

  • Hwang CL, Yoon K (1981) Multiple attribute decision making: methods and applications. Springer, Berlin

    MATH  Google Scholar 

  • Ji P, Zhang H-Y, Wang J-Q (2016) A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Comput Appl 29(1):221–234

    Google Scholar 

  • Joshi R, Kumar S (2018) A dissimilarity Jensen–Shannon divergence measure for intuitionistic fuzzy sets. Int J Intell Syst 33(11):2216–2235

    Google Scholar 

  • Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47(2):263–292

    MathSciNet  MATH  Google Scholar 

  • Krohling RA, Pacheco AGC, Siviero ALT (2013) IF-TODIM: an intuitionistic fuzzy TODIM to multi-criteria decision making. Knowl-Based Syst 53:142–146

    Google Scholar 

  • Lee LW, Chen SM (2015) Fuzzy decision making based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and hesitant fuzzy linguistic operators. Inf Sci 294:513–529

    MathSciNet  MATH  Google Scholar 

  • Li DQ, Zeng WY, Li JH (2015) New distance and similarity measures on hesitant fuzzy sets and their applications in multiple criteria decision making. Eng Appl Artif Intell 40:11–16

    Google Scholar 

  • Liao HC, Xu ZS (2015) Approaches to manage hesitant fuzzy linguistic information based on the cosine distance and similarity measures for HFLTSs and their application in qualitative decision making. Expert Syst Appl 42(12):5328–5336

    Google Scholar 

  • Liao HC, Xu ZS, Zeng XJ (2015) Hesitant fuzzy linguistic VIKOR method and its application in qualitative multiple criteria decision making. IEEE Trans Fuzzy Syst 23(5):1343–1355

    Google Scholar 

  • Liao HC, Yang LY, Xu ZS (2018) Two new approaches based on ELECTRE II to solve the multiple criteria decision making problems with hesitant fuzzy linguistic term sets. Appl Soft Comput J 63:223–234

    Google Scholar 

  • Lin MW, Xu ZS, Zhai YL, Yao ZQ (2018a) Multi-attribute group decision-making under probabilistic uncertain linguistic environment. J Oper Res Soc 69(2):157–170

    Google Scholar 

  • Lin M, Wei J, Xu Z, Chen R (2018) Multiattribute group decision-making based on linguistic pythagorean fuzzy interaction partitioned bonferroni mean aggregation operators. Complexity 2018:9531064

  • Lin MW, Chen ZY, Liao HC, Xu ZS (2019) ELECTRE II method to deal with probabilistic linguistic term sets and its application to edge computing. Nonlinear Dyn 96(3):2125–2143

    Google Scholar 

  • Manupati VK, Ramkumar M, Samanta D (2018) A multi-criteria decision making approach for the urban renewal in Southern India. Sustain Cities Soc 42:471–481

    Google Scholar 

  • Ou Yang YP, Shieh HM, Tzeng GH (2013) A VIKOR technique based on DEMATEL and ANP for formation security risk control assessment. Inf Sci 232:482–500

    Google Scholar 

  • Ou Y, Li LZ, Zou B, Pei Z (2018) The linguistic intuitionistic fuzzy set TOPSIS method for linguistic multi-criteria decision makings. Int J Comput Intell Syst 11(1):120–132

    Google Scholar 

  • Pang Q, Wang H, Xu ZS (2016) Probabilistic linguistic term sets in multi-attribute group decision making. Inf Sci 369:128–143

    Google Scholar 

  • Peng XD, Selvachandran G (2017) Pythagorean fuzzy set: state of the art and future directions. Artif Intell Rev. https://doi.org/10.1007/s10462-017-9596-9

    Article  Google Scholar 

  • Qin JD, Liu XW, Pedrycz W (2017) An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur J Oper Res 258(2):626–638

    MathSciNet  MATH  Google Scholar 

  • Ramkumar M, Jenamani M (2012) E-procurement service provider selection—an analytic network process—based group decision-making approach. Serv Sci 4(3):183–294

    Google Scholar 

  • Ramkumar M, Jenamani M (2015) Sustainability in supply chain through e-procurement—an assessment framework based on DANP and liberatore. IEEE Syst J 9(4):1554–1564

    Google Scholar 

  • Ramkumar M, Schoenherr T, Jenamani M (2016) Risk assessment of outsourcing e-procurement services: integrating SWOT analysis with a modified ANP-based fuzzy inference systems. Prod Plan Control 27(14):1171–1190

    Google Scholar 

  • Rodriguez RM, Martinez L, Herrera F (2012) Hesitant fuzzy linguistic term sets for decision making. IEEE Trans Fuzzy Syst 20(1):109–119

    Google Scholar 

  • Roy B (1968) Classement et choix en présence de points de vue multiples (la méthode ELECTRE). La Revue d’Informatique et de Recherche Opérationelle (RIRO) 2(8):57–75

    Google Scholar 

  • Sang X, Liu X, Qin J (2015) An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise. Appl Soft Comput J 30:190–204

    Google Scholar 

  • Sun BZ, Ma WM (2014) Soft fuzzy rough sets and its application in decision making. Artif Intell Rev 41(1):67–80

    Google Scholar 

  • Tan QY, Wei CP, Liu Q, Feng XQ (2016) The hesitant fuzzy linguistic TOPSIS method based on novel information measures. Asia-Pac J Oper Res 33(5):1650035

    MathSciNet  MATH  Google Scholar 

  • Tang J, Meng F (2017) Decision making with multiplicative hesitant fuzzy linguistic preference relations. Neural Comput Appl. https://doi.org/10.1007/s00521-017-3227-x

    Article  Google Scholar 

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

    MATH  Google Scholar 

  • Tosun O, Akyuz G (2015) A fuzzy TODIM approach for the supplier selection problem. Int J Comput Intell Syst 8(2):317–329

    Google Scholar 

  • Turksen IB (2002) Type 2 representation and reasoning for CWW. Fuzzy Sets Syst 127(1):17–36

    MathSciNet  MATH  Google Scholar 

  • Tversky A, Kahneman D (1992) Advances in prospect theory: cumulative representation of uncertainty. J Risk Uncertain 5(4):297–323

    MATH  Google Scholar 

  • Uygun O, Kacamak H, Kahraman UA (2014) An integrated DEMATEL and fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company. Comput Ind Eng 86:137–146

    Google Scholar 

  • Wang J, Wang JQ, Zhang HY (2016a) A likelihood-based TODIM approach based on multi-hesitant fuzzy linguistic information for evaluation in logistics outsourcing. Comput Ind Eng 99:287–299

    Google Scholar 

  • Wang JQ, Wu JT, Wang J, Zhang HY, Chen XH (2016b) Multi-criteria decision-making methods based on the Hausdorff distance of hesitant fuzzy linguistic numbers. Soft Comput 20(4):1621–1633

    Google Scholar 

  • Wei CP, Ren ZL, Rodriguez RM (2015) A hesitant fuzzy linguistic TODIM method based on a score function. Int J Comput Intell Syst 8(4):701–712

    Google Scholar 

  • **a MM, Xu ZS (2017) Some studies on properties of hesitant fuzzy sets. Int J Mach Learn Cybernet 8(2):489–495

    MathSciNet  Google Scholar 

  • Xu ZS (2012) Linguistic decision making: theory and methods. Springer, Berlin

    MATH  Google Scholar 

  • Xu ZS, Da QL (2002) The uncertain OWA operator. Int J Intell Syst 17(6):569–575

    MATH  Google Scholar 

  • Xu ZS, Wang H (2016) On the syntax and semantics of virtual linguistic terms for information fusion in decision making. Inf Fus 34:43–48

    Google Scholar 

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

    MATH  Google Scholar 

  • Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-II. Inf Sci 8(4):301–357

    MathSciNet  MATH  Google Scholar 

  • Zhang XL, Xu ZS (2014) The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment. Knowl-Based Syst 61:48–58

    Google Scholar 

Download references

Acknowledgements

This research work was supported by the National Natural Science Foundation of China under Grant Nos. 61872086, U1805263, and 61672157, and the Distinguished Young Scientific Research Talents Plan in Universities of Fujian Province (2017).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mingwei Lin.

Additional information

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

Lin, M., Wang, H. & Xu, Z. TODIM-based multi-criteria decision-making method with hesitant fuzzy linguistic term sets. Artif Intell Rev 53, 3647–3671 (2020). https://doi.org/10.1007/s10462-019-09774-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10462-019-09774-9

Keywords

Navigation