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Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making

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Abstract

Hesitancy is the most common problem in decision making, for which hesitant fuzzy set can be considered as a suitable means allowing several possible degrees for an element to a set. In this paper, we study the aggregation of the hesitancy fuzzy information. Several series of aggregation operators are proposed and the connections of them are discussed. To reflect the correlation of the aggregation arguments, two methods are proposed to determine the aggregation weight vectors. Based on the support degrees among aggregation arguments, the weight vector of decision makers are obtained more objectively. To deal with the correlation of criteria, we apply the Choquet integral to get the weights of criteria. A method is also proposed for group decision making under hesitant fuzzy environment.

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References

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

    Article  Google Scholar 

  • Büyüközkan G, Mauris G, Berrah L, Feyzioğlu O (2003) Providing elucidations of Web site evaluation based on a multi-criteria aggregation. In: Proceedings of the international fuzzy systems association world congress (IFSA), Istanbul, Turkey, pp 131–134

  • Büyüközkan G, Feyzioğlu O, Ersoy MS (2009) Evaluation of 4PL operating models: a decision making approach based on 2-additive Choquet integral. Int J Product Econ 121: 112–120

    Article  Google Scholar 

  • Büyüközkan G, Ruan D (2010) Coquet integral based aggregation approach to software development risk assessment. Inf Sci 180: 441–451

    Article  Google Scholar 

  • Chen TY (2011) Optimistic and pessimistic decision making with dissonance reduction using interval-valued fuzzy sets. Inf Sci 181: 479–502

    Article  Google Scholar 

  • Choquet G (1953) Theory of capacities. Ann Inst Fourier (Crenoble) 5: 131–295

    Article  Google Scholar 

  • Denneberg D (1994) Non-additive measure and integral. Kluwer, Boston

    Google Scholar 

  • Dubois D, Prade H (1980) Fuzzy sets and systems: theory and applications. Academic Press, New York

    Google Scholar 

  • Fodor J, Marichal JL, Roubens M (1995) Characterization of the ordered weighted averaging operators. IEEE Trans Fuzzy Syst 3: 236–240

    Article  Google Scholar 

  • Grabisch M (1997) K-order additive discrete fuzzy measures and their representation. Fuzzy Sets Syst 92: 167–189

    Article  Google Scholar 

  • Hardy GH, Littlewood JE, Pólya G (1934) Inequalities. Cambridge University Press, Cambridge

    Google Scholar 

  • Herrera F, Herrera-Viedma E, Verdegay JL (1996) A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst 78: 73–87

    Article  Google Scholar 

  • Merigó JM, Gil-Lafuente AM (2009) The induced generalized OWA operator. Inf Sci 179: 729–741

    Article  Google Scholar 

  • Merigó JM, Casanovas M (2011) The uncertain induced Quasi-arithmetic OWA Operator. Int J Intell Syst 26: 1–24

    Article  Google Scholar 

  • Mesiar R, Mesiarová-Zemánková A (2011) The ordered modular averages. IEEE Trans Fuzzy Syst 19: 42–50

    Article  Google Scholar 

  • Miyamoto S (2000) Multisets and fuzzy multisets. In: Liu Z-Q, Miyamoto S (eds) Soft computing and human-centered machines. Springer, Berlin, pp 9–33

    Chapter  Google Scholar 

  • Miyamoto S (2005) Remarks on basics of fuzzy sets and fuzzy multisets. Fuzzy Sets Syst 156: 427–431

    Article  Google Scholar 

  • Sugeno M (1974) Theory of fuzzy integral and its application. Doctoral dissertation, Tokyo Institute of Technology

  • Tan CQ, Chen XH (2009) Induced Choquet ordered averaging operator and its application to group decision making. Int J Intell Syst 25: 59–82

    Article  Google Scholar 

  • Tan CQ, Chen XH (2010). Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Exp Syst Appl 37: 149–157

    Article  Google Scholar 

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

    Google Scholar 

  • Torra V, Narukawa Y (2009) On hesitant fuzzy sets and decision. In: The 18th IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, pp 1378–1382

  • Wang Z, Klir G (1992) Fuzzy measure theory. Plenum Press, New York

    Book  Google Scholar 

  • Wang JH, Hao J (2006) A new version of 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans Fuzzy Syst 14: 435–445

    Article  Google Scholar 

  • Xia MM, Xu ZS (2011) Hesitant fuzzy information aggregation in decision making. Int J Approx Reason 52: 395–407

    Article  Google Scholar 

  • Xia MM, Xu ZS, Chen N (2011) Induced aggregation under confidence levels. Int J Uncert Fuzz Knowl Based Syst 19: 201–227

    Article  Google Scholar 

  • Xu ZS (2004) A method based on linguistic aggregation operators for group decision making with linguistic preference relations. Inf Sci 166: 19–30

    Article  Google Scholar 

  • Xu ZS (2005) Deviation measures of linguistic preference relations in group decision making. Omega 33: 249–254

    Article  Google Scholar 

  • Xu ZS (2009) Correlated linguistic information aggregation. Int J Uncert Fuzz Knowl Based Syst 17: 633–647

    Article  Google Scholar 

  • Xu ZS (2010) Choquet integrals of weighted intuitionistic fuzzy information. Inf Sci 180: 726–736

    Article  Google Scholar 

  • Xu ZS (2011) Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators. Knowl Based Syst 24: 749–760

    Article  Google Scholar 

  • Xu ZS, Cai XQ (2010) Recent advances in intuitionistic fuzzy information aggregation. Fuzzy Optim Decis Making 9: 359–381

    Article  Google Scholar 

  • Xu ZS, Cai XQ (2011) Uncertain power average operators for aggregating interval fuzzy preference relations. Group Decis Negot, doi:10.1007/s10726-010-9213-7

  • Xu ZS, Xia MM (2011a) Distance and similarity measures for hesitant fuzzy sets. Inf Sci 181: 2128–2138

    Article  Google Scholar 

  • Xu ZS, Xia MM (2011b) On distance and correlation measures of hesitant fuzzy information. Int J Intell Syst 26: 410–425

    Article  Google Scholar 

  • Xu ZS, Xia MM (2011c) Induced generalized intuitionistic fuzzy operators. Knowl Based Syst 24: 197–209

    Article  Google Scholar 

  • Xu ZS, Yager RR (2010) Power-geometric operators and their use in group decision making. IEEE Trans Fuzzy Syst 18: 94–105

    Article  Google Scholar 

  • Yager RR (1986) On the theory of bags. Int J General Syst 13: 23–37

    Article  Google Scholar 

  • Yager RR (1988) On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst Man Cybern 18: 183–190

    Article  Google Scholar 

  • Yager RR (2001) The power average operator. IEEE Trans Syst Man Cybern 31: 724–731

    Article  Google Scholar 

  • Yager RR (2004) Choquet aggregation using order inducing variables. Int J Uncertaint Fuzz Knowl Based Syst 12: 69–88

    Article  Google Scholar 

  • Yager RR, Filev DP (1999) Induced ordered weighted averaging operators. IEEE Trans Syst Man Cybern 29: 141–150

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

Download references

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Correspondence to Zeshui Xu.

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Xia, M., Xu, Z. & Chen, N. Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making. Group Decis Negot 22, 259–279 (2013). https://doi.org/10.1007/s10726-011-9261-7

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