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The neutrosophic number generalized weighted power averaging operator and its application in multiple attribute group decision making

机译:中智数广义加权平均算子及其在多属性群决策中的应用

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摘要

Neutrosophic number (NN) is a useful tool which is used to overcome the difficulty of describing indeterminate evaluation information. The purpose of the study is to propose some power aggregation operators based on neutrosophic number which is used to deal with multiple attributes group decision making problems more effectively. Firstly, the basic concepts and the operational rules and the characteristics of NNs are introduced. Then, some aggregation operators based on neutrosophic numbers are developed, included the neutrosophic number weighted power averaging (NNWPA) operator, the neutrosophic number weighted geometric power averaging (NNWGPA) operator, the generalized neutrosophic number weighted power averaging (GNNWPA) operator. At the same time, the properties of above operators are studied such as idempotency, monotonicity, boundedness and so on. Then, the generalized neutrosophic number weighted power averaging (GNNWPA) operator is applied to solve multiple attribute group decision making (MAGDM) problems. Afterwards, a numerical example is given to demonstrate the effective of the new developed method, and some comparison are conducted to verify the influence of different parameters or to reveal the difference with another method. In the end, the main conclusion of this paper is summarized.
机译:中智数字(NN)是一种有用的工具,用于克服描述不确定评估信息的困难。研究的目的是提出一些基于中智数的功率集合算子,用于更有效地处理多属性群决策问题。首先介绍了神经网络的基本概念,运行规则和特点。然后,基于中智数的聚合算子被开发出来,包括中智数加权平均功率算子(NNWPA),中智数加权几何平均功率算子(NNWGPA),广义中智数加权平均功率算子(GNNWPA)。同时,研究了上述算子的性质,如幂等性,单调性,有界性等。然后,将广义中智数加权平均功率(GNNWPA)算子用于解决多属性组决策(MAGDM)问题。然后,通过数值例子说明了新方法的有效性,并进行了一些比较,以验证不同参数的影响或揭示与另一种方法的差异。最后总结了本文的主要结论。

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