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Hyperbolic scales involving appetites-based intuitionistic multiplicative preference relations for group decision making

机译:涉及基于食欲的直觉乘法偏好关系的双曲标度,用于组决策

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摘要

Preference relations based on various numerical scales have become powerful techniques to express the decision maker’s preference information over alternatives or criteria. Existing numerical scales are not always fitted with practical situations, for example, it is difficult for a single value in a numerical scale to simultaneously express the support and objection evidence; therefore, a constant numerical scale cannot reflect the appetites of different decision makers well and the grades between preference degrees are not or only partly asymmetrically distributed. Thus, in this paper, we use parameterized hyperbolic scales to express the preference information, and propose a novel hyperbolic scale-based intuitionistic multiplicative preference relation to suit the above situations. Basic operations on the proposed scale are developed, based on which the hyperbolic scale-based intuitionistic multiplicative weighted geometric operator and the hyperbolic scale-based intuitionistic multiplicative power geometric operator are proposed to aggregate the hyperbolic scale-based intuitionistic multiplicative preference information; and desirable properties are further discussed. Then a method is provided to solve group decision making with hyperbolic scale-based intuitionistic multiplicative preference relations. Finally, a numerical example is given to illustrate the effectiveness of our method.
机译:基于各种数值尺度的偏好关系已经成为表达决策者的偏好信息,而不是替代方案或标准的强大技术。例如,现有数值尺度并不总是配合实际情况,例如,在数值规模中难以同时表达支持和异议证据;因此,恒定的数值规模不能反映不同决策者的胃口嘛,偏好度之间的等级不是或仅部分不对称分布。因此,在本文中,我们使用参数化的双曲尺度来表达偏好信息,并提出了一种基于新的基于双曲级的直觉乘法偏好关系,以适应上述情况。建议基于拟议规模的基本操作,基于哪种基于双曲级的直觉乘法加权几何操作员和基于双曲级的直觉乘法功率几何操作员来聚合基于双曲线的直觉乘法偏好信息;还讨论了所需的性质。然后提供一种方法来解决基于双曲级的直觉乘法偏好关系的组决策。最后,给出了数值例子来说明我们方法的有效性。

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