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An Analysis on the Influence of Chinese 'New Four Inventions' Under the Incomplete Hybrid Probabilistic Linguistic Environment

机译:不完全混合概率语言环境下中国“四大发明”的影响力分析

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摘要

Considering the primary influence of the so-called China's new four inventions on the Chinese way of life and the strengths of probabilistic linguistic preference relations (PLPRs) in addressing the decision-making problems, we start to regard the PLPRs as the decision-making instrument to appraise the impact of new four inventions in the paper. Generally speaking, owing to the disparate causes of decision-making environment and the decision makers, not all the decision information presented is complete and with a unified form. In consequence, we give the introduction of incomplete probabilistic linguistic preference relations and hybrid PLPRs. Concretely, either the IPLPRs or the hybrid PLPRs are divided into two categories: the additive PLPRs and the multiplicative PLPRs. In order to acquire the ultima evaluation result, the complete processes for different types of IPLPRs are first given by the corresponding algorithms, respectively. Then for the acquired complete PLPRs, on the strength of transformation functions, we define the expected transformed additive PLPRs (ETAPs) and the expected transformed multiplicative PLPRs (ETMPs) to transform hybrid PLPRs into the unformed preference relations (UPRs). After that, an algorithm is provided to check and improve the consistency of the UPRs. Then the group preference relation is calculated based on the aggregation operator, the similar consistency improving process is applied to it, and the ranking of evaluations can be gained parenthetically. Finally, a specific numeric simulation experiment concerning the previously mentioned new four inventions is implemented to prove the feasibility and availability of the decision-making process.
机译:考虑到所谓的中国新四项发明对中国人生活方式的主要影响以及概率语言偏好关系(PLPR)在解决决策问题方面的优势,我们开始将PLPR作为决策工具评估本文中四项新发明的影响。一般而言,由于决策环境和决策者的原因不尽相同,并不是所有呈现的决策信息都是完整的和统一的形式。因此,我们介绍了不完全的概率语言偏好关系和混合PLPR。具体而言,IPLPR或混合PLPR分为两类:加性PLPR和乘性PLPR。为了获得最终评估结果,首先分别通过相应的算法给出针对不同类型IPLPR的完整过程。然后,对于获得的完整PLPR,根据转换函数的强度,我们定义了预期的转换加性PLPR(ETAP)和预期的转换乘性PLPR(ETMP),以将混合PLPR转换为未形成的偏好关系(UPR)。此后,提供了一种算法来检查和改善UPR的一致性。然后,基于聚合算子计算出组偏好关系,并采用相似的一致性改进过程,并在括号内获得评价的等级。最后,针对前面提到的新四项发明进行了具体的数值模拟实验,以证明决策过程的可行性和可用性。

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