基于梯形模糊隶属函数的复合语言多目标决策
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浙江工商大学信息与电子工程学院,杭州310018.

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戴文战

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TP273

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国家自然科学基金项目(61374022).


Multi-target decision making method of composite linguistic expressions based on trapezoidal fuzzy membership function
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School of Information and Electronic Engineering,Zhejiang Gongshang University,Hangzhou 310018,China.

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    摘要:

    对于一些复杂的决策问题, 使用比较语言比单一语言更能准确地表达专家的看法. 据此, 提出一种同时使用单一语言和比较语言的新算法. 根据上下文无关文法将比较语言表达转换为犹豫模糊语言术语集(HFLTS), 并应用有序加权算子(OWA) 计算出由梯形隶属函数表示的模糊语言术语集的模糊包络, 有效地简化了基于HFLTS 的词计算过程. 最后应用逼近理想解排序(TOPSIS) 方法进行决策.

    Abstract:

    For some complicated decision problems, it is difficult to express clearly experts thought by only using deterministic linguistic. Therefore according to comparative linguistic expressions, the multi-target decision making method of composite linguistic expressions is presented based on the trapezoidal fuzzy membership function. Firstly, the comparative linguistic expressions are transformed into hesitant fuzzy linguistic term sets(HFLTS) with the use of context-free grammars. Then the fuzzy envelope of HFLTS represented by trapezoidal membership function is calculated by ordered weighted averaging(OWA) operator in order to simplify effectively computing processes of words. Finally, An example of supplier selection is given to illustrate the proposed decision method.

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引用本文

戴文战 李昀.基于梯形模糊隶属函数的复合语言多目标决策[J].控制与决策,2015,30(12):2205-2211

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  • 收稿日期:2014-07-20
  • 最后修改日期:2014-10-21
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  • 在线发布日期: 2015-12-20
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