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犹豫模糊语言的可能度排序方法
引用本文:冯向前,谭倩云,钱钢.犹豫模糊语言的可能度排序方法[J].控制与决策,2016,31(4):640-646.
作者姓名:冯向前  谭倩云  钱钢
作者单位:南京师范大学计算机科学与技术学院,南京210023.
基金项目:

国家自然科学基金项目(71371107);江苏省高校哲学社科项目(2013SJD630039).

摘    要:

研究犹豫模糊语言集可能度排序方法. 在给出犹豫模糊语言集排序可能度公理的基础上, 给出3 类犹豫模糊语言集可能度排序公式: 第1 类基于RL 的5 个等价犹豫模糊语言可能度排序公式; 第2 类基于WNS的5 个等价犹豫模糊语言可能度排序公式; 第3 类基于概率可信度的犹豫模糊语言可能度比较公式. 通过实例对3 类公式进行对比分析, 给出方法选择的建议, 第3 类方法可以区别差别较小的犹豫模糊语言数, 第1 类方法适于大规模计算中的应用.



关 键 词:

犹豫模糊语言|可能度|排序

收稿时间:2015/1/9 0:00:00
修稿时间:2015/6/5 0:00:00

Possibility degree methods for ranking hesitant fuzzy linguistic sets
FENG Xiang-qian TAN Qian-yun QIAN Gang.Possibility degree methods for ranking hesitant fuzzy linguistic sets[J].Control and Decision,2016,31(4):640-646.
Authors:FENG Xiang-qian TAN Qian-yun QIAN Gang
Abstract:

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.

Keywords:

hesitant fuzzy linguistic term sets|possibility degree|ranking

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