Possibility degree methods for ranking hesitant fuzzy linguistic sets

被引:0
|
作者
Feng X.-Q. [1 ]
Tan Q.-Y. [1 ]
Qian G. [1 ]
机构
[1] School of Computer Science & Technology, Nanjing Normal University, Nanjing
来源
Kongzhi yu Juece/Control and Decision | 2016年 / 31卷 / 04期
关键词
Hesitant fuzzy linguistic term sets; Possibility degree; Ranking;
D O I
10.13195/j.kzyjc.2015.0040
中图分类号
学科分类号
摘要
Possibility degree methods for ranking hesitant fuzzy linguistic sets(HFLTSs) are studied. Three kinds of possibility degree formulas are proposed based on presenting possibility degree axiom. The five mutual equivalent formulas of the first kind are based on the idea of the interval comparison method. Another five mutual equivalent formulas are proposed based on the first kind of formulas, and the third kind of possibility degree formulas with respect to HFLTSs is proposed by probability criterion of uniform distribution. Finally, an example is given to explain the rationality and feasibility of the new formulas. The results show that the third kind of formula can deal with ranking problems resulting from slight difference of HFLTS, and the first kind of formula is simple to calculate and suitable for large-scale computation. © 2016, Editorial Office of Control and Decision. All right reserved.
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页码:640 / 646
页数:6
相关论文
共 18 条
  • [1] Rodriguez Rosa M., Martinez L., Herrera F., Et al., Hesitant fuzzy linguistic term sets for decision making, IEEE Trans on Fuzzy Systems, 20, 1, pp. 109-119, (2012)
  • [2] Rodriguez Rosa M., Martinez L., Herrera F., Et al., A group decision making model dealing with comparative expressions based on hesitant fuzzy linguistic term sets, Information Sciences, 241, 8, pp. 28-42, (2013)
  • [3] Wang J., Wang J., Chen Q., Et al., An outranking approach for multi-criteria decision-making with hesitant fuzzy linguistic term sets, Information Sciences, 280, 10, pp. 338-351, (2014)
  • [4] Liu H., Rodriguez Rosa M., A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multi-criteria decision making, Information Sciences, 258, 2, pp. 220-238, (2014)
  • [5] Zhu B., Xu Z., Consistency measures of hesitant fuzzy linguistic preference relations, IEEE Trans on Fuzzy Systems, 22, 1, pp. 34-35, (2014)
  • [6] Liu H., Cai J., Jiang L., On improving the additive consistency of the fuzzy preference relation based on comparative Linguistic expressions, Int J of Intelligent Systems, 29, 6, pp. 544-559, (2014)
  • [7] Ismat B., Rashid T., TOPSIS for hesitant fuzzy linguistic term sets, Int J of Intelligent Systems, 28, 12, pp. 1162-1171, (2013)
  • [8] Liao H., Xu Z., Zeng X., Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making, Information Sciences, 271, 7, pp. 125-142, (2014)
  • [9] Lee L., Chen S., Fuzzy decision making based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and hesitant fuzzy linguistic operators, Information Sciences, 294, 2, pp. 513-529, (2015)
  • [10] Lee L., Chen S., Fuzzy decision making based on hesitant fuzzy linguistic term sets, Intelligent Information and Database Systems, 7802, pp. 21-30, (2013)