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An Approach to Multiple Attribute Group Decision Making Based on Intuitionistic Trapezoidal Fuzzy Power Generalized Aggregation Operator

机译:基于直觉梯形模糊模糊广义聚合算子的多个属性组决策方法

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摘要

With respect to multiple attribute decision making (MADM) problems in which the attribute value takes the form of intuitionistic trapezoidal fuzzy number, a new decision making analysis method is developed. Firstly, some operational laws and expected values of intuitionistic trapezoidal fuzzy numbers, and distance between two intuitionistic trapezoidal fuzzy numbers, are introduced, and the comparison method for the intuitionistic trapezoidal fuzzy numbers is proposed. Then, combined the power aggregation operator and the generalized aggregation operator, a power generalized average (PGA) operator is proposed, and some properties of the PGA operator, such as idempotency, boundary, commutativity, etc., are studied. At the same time, some special cases of the generalized parameters in PGA operator are analyzed. Furthermore, an intuitionistic trapezoidal fuzzy power generalized weighted average (ITFPGWA) operator is also proposed for the intuitionistic trapezoidal fuzzy information, and some properties of the ITFPGWA operator and an approach to deal with group decision making problems under intuitionistic trapezoidal fuzzy information based on the ITFPGWA operator are given. Finally, an illustrative example is given to illustrate the decision-making steps, and to demonstrate its practicality and effectiveness.
机译:相对于在其中该属性值取直觉梯形模糊数的形式的多个属性决策(MADM)的问题,一个新的决策分析方法开发的。首先,一些操作的法律和直觉梯形模糊数的预期值,以及两个直觉梯形模糊数之间的距离,被引入,并提出了一种直觉梯形模糊数的比较方法。然后,组合的功率聚集算子和广义聚集算子,一个功率广义平均(PGA)操作者提出,和PGA操作者的一些性质,如幂等性,边界,交换性等,进行了研究。与此同时,在PGA运营商广义参数的一些特殊情况进行了分析。此外,直觉梯形模糊幂广义加权平均(ITFPGWA)运营商也提出了直觉梯形模糊信息,ITFPGWA操作和方法的一些特性来处理基础上,ITFPGWA群决策下直觉梯形模糊信息问题运营商给出。最后,示例性实例给出说明决策步骤,并证明它的实用性和有效性。

著录项

  • 作者

    Peide Liu; Ying Liu;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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