Purpose

For a nation to become a superpower, it's scientific and technological advancement is essential. Each country is exploring how to improve themselves in terms of science and technology. The authors analyzed the innovation capabilities of 35 OECD countries that have not recently joined Lithuania.

Design/methodology/approach

In recent years, a lot of research work has been done on trapezoidal interval type-2 fuzzy sets (TIT-2 FS), and many research works have been published. The trapezoidal interval type-2 fuzzy set helps effectively to represent the uncertainty comparatively than the type-1 fuzzy set. Taking advantage of this effectiveness, the authors extend the best multi-criteria decision making method (MCDM) for trapezoidal interval type-2 fuzzy sets. Here, ELimination and Choice Expressing REality III (ELECTRE III) method in the trapezoidal interval type-2 fuzzy set environment is proposed.

Findings

This analysis helps to the OECD countries to develop their level of innovation in the criteria. The authors are making this evaluation for the year 2018 based on the 31 criteria. Application of the proposed method expressed by evaluation of the national innovation capability problem. Based on the obtained results, the top five countries are United States, Switzerland, Canada, Germany and Japan.

Originality/value

The authors collected required data from different available data sources like OECD, IMD, USPTO, ITU and surveyed data reported by KISTEP. After collecting all the data from different sources, the authors calculated the standard values as KISTEP. After converting the standard values into trapezoidal interval type-2 fuzzy values, the authors construct a decision matrix based on these values. Then, the authors determined the possibility mean values and preference. Then, they calculated the concordance and discordance credibility degree values. Finally, they ranked OECD countries by the net credibility degree. The results are computed by using the MATLAB software.

中文翻译：

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使用梯形区间type-2模糊ELECTRE III方法评估OECD国家的国家创新能力

目的

一个国家要成为超级大国，其科技进步是必不可少的。每个国家都在探索如何在科技方面提升自己。作者分析了最近未加入立陶宛的 35 个经合组织国家的创新能力。

设计/方法/方法

近年来，对梯形区间第2类模糊集（TIT-2 FS）进行了大量的研究工作，并发表了许多研究著作。梯形区间类型 2 模糊集比类型 1 模糊集有助于更有效地表示不确定性。利用这种有效性，作者扩展了梯形区间 2 类模糊集的最佳多标准决策制定方法 (MCDM)。在这里，提出了梯形区间类型 2 模糊集环境中的消除和选择表达现实 III (ELECTRE III) 方法。

发现

这种分析有助于经合组织国家制定标准的创新水平。作者根据 31 项标准对 2018 年进行了评估。应用所提出的方法表达为国家创新能力问题的评价。根据获得的结果，排名前五的国家是美国、瑞士、加拿大、德国和日本。

原创性/价值

作者从 OECD、IMD、USPTO、ITU 和 KISTEP 报告的调查数据等不同可用数据源收集了所需数据。在收集了来自不同来源的所有数据后，作者将标准值计算为 KISTEP。在将标准值转换为梯形区间类型 2 模糊值后，作者基于这些值构建了一个决策矩阵。然后，作者确定了可能性平均值和偏好。然后，他们计算了一致性和不一致的可信度值。最后，他们根据净可信度对经合组织国家进行排名。使用MATLAB软件计算结果。