Advanced CRITIC–GRA–GMM model with multiple restart simulation for assuaging decision uncertainty: An application to transport safety engineering for OECD members

Zhou, Ziyu; Zhang, Yuhao; Zhang, Yi; Hou, Bodong; Mei, Yunhao; Wu, Peijun; Chen, Yichu; Zhou, Weijie; Wu, Haoyan; Chen, Faan

doi:10.1016/j.aei.2024.102373

Advanced Engineering Informatics

2024

DOI: 10.1016/j.aei.2024.102373

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Advanced CRITIC–GRA–GMM model with multiple restart simulation for assuaging decision uncertainty: An application to transport safety engineering for OECD members

Ziyu Zhou,

Yuhao Zhang,

Yi Zhang

et al.

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2024

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Cited by 4 publications

References 62 publications

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An integrated MCDM model with enhanced decision support in transport safety using machine learning optimization

Guo,

Liu,

Liu

et al. 2024

Knowledge-Based Systems

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An integrated MCDM model with enhanced decision support in transport safety using machine learning optimization

Guo,

Liu,

Liu

et al. 2024

Knowledge-Based Systems

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Machine learning embedded hybrid MCDM model to mitigate decision uncertainty in transport safety planning for OAS countries

Zhou,

Feng,

Guo

et al. 2024

Socio-Economic Planning Sciences

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Assessing Food and Beverage Companies During a Time of Crisis: A Comparative MCDA Approach

Elma

2024

Fiscaoeconomia

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Financial performance analysis plays a pivotal role in assisting companies achieve their future goals more decisively and in identifying the shortcomings in their competition with their rivals. Multi-Criteria Decision Analysis (MCDA) methods are used in complex scenarios where decisions can be made in different variations based on more than one criterion. During the pandemic, uncertainty increased in all capital markets and the volatility of financial instruments was intensely felt. To that end, the performance of 23 companies listed in the Food and Beverage index of Borsa Istanbul, which is an emerging market, between the years 2020 and 2022, corresponding to the pandemic period, will be analyzed in this study. In the research, where 6 accounting and valuation-based ratios were used as criteria, CRITIC objective weighting technique was integrated and analyzes were made with VIKOR, GRA, TOPSIS, SAW, FUCA, ELECTRE III and COPRAS methods. The results of this research are noteworthy as it is the first study on the relevant index that includes 7 different methods comparatively. Interestingly, as a result of the study, the VIKOR method provided the most sustainable success in this period of historical uncertainty, while the FUCA method took the second place.

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Advanced CRITIC–GRA–GMM model with multiple restart simulation for assuaging decision uncertainty: An application to transport safety engineering for OECD members

Cited by 4 publications

References 62 publications

An integrated MCDM model with enhanced decision support in transport safety using machine learning optimization

An integrated MCDM model with enhanced decision support in transport safety using machine learning optimization

Machine learning embedded hybrid MCDM model to mitigate decision uncertainty in transport safety planning for OAS countries

Assessing Food and Beverage Companies During a Time of Crisis: A Comparative MCDA Approach

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