An integrated CRITIC and Grey Relational Analysis approach for investment portfolio selection

Silva, Natan Felipe; Santos, Marcos dos; Gomes, Carlos Francısco Sımões; Andrade, Lélis Pedro de

doi:10.1016/j.dajour.2023.100285

Cited by 21 publications

(6 citation statements)

References 37 publications

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“…It is often used to enhance certain classical multi-criteria decision-making methods. Silva et al [39] proposed a multi-criteria decision-making model composed of the "CRITIC (Criteria Importance through Intercriteria Correlation)" method and a Grey Relational Analysis (GRA), aiming to select the best alternatives to include in an investment portfolio. Jagatheswari et al [40] introduced an improved TOPSIS method based on a Grey Relational Analysis (GRATOPSIS) as a collaborative execution strategy, used to evaluate the trustworthiness provided with each mobile node in a network to ensure Quality of Service (QoS).…”

Section: Weight Determination Methodsmentioning

confidence: 99%

Evaluating Information Risk Propagation in Complex Public Opinion Environments Based on the Improved Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory Method

Luo,

Xue,

2023

Systems

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The propagation of information risk in complex public opinion environments not only leads to severe direct reputational losses for companies but also results in significant economic damages. Therefore, during the nascent stage of information risk, identifying potential propagation pathways, determining key dissemination channels, and taking timely measures become crucial. To address this issue, this paper proposes a multi-criteria decision-making method for evaluating information risk propagation in complex public opinion environments. In this method, this paper utilizes probabilistic hesitant fuzzy sets to express the evaluation information, and provide several distance and similarity measurement methods for probabilistic hesitant fuzzy elements. To ensure the rationality of the evaluation indicator weights, this study first applies these distance measurement methods to improve the Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory (GRA-DEMATEL) method for determining the objective weights of evaluation indicators. Next, this paper uses the Delphi method to establish the subjective weights of each evaluation indicator. Finally, by employing a weight synthesis operator, this paper combines the subjective and objective weights to obtain the final indicator weights. Additionally, this paper utilizes the similarity measurement methods for probabilistic hesitant fuzzy elements to improve the combined compromise solution (CoCoSo) method in evaluating and ranking potential information risk propagation pathways. Furthermore, this paper incorporates the “Probability Splitting Algorithm” to handle probabilistic hesitant fuzzy elements, enabling their application in these methodologies. Finally, based on a case study of information risk propagation in the catering industry, we conducted a sensitivity analysis and effectiveness verification of the proposed approach. The results demonstrate the effectiveness of the method and its ability to address real-world issues.

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Section: Weight Determination Methodsmentioning

confidence: 99%

Evaluating Information Risk Propagation in Complex Public Opinion Environments Based on the Improved Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory Method

Luo,

Xue,

2023

Systems

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“…These kernels perform the convolution operation, extracting features from the input data. Parameter adjustments occur to identify the most suitable features [7,8].…”

Section: Theoretical Basis Of Convolutional Neural Networkmentioning

confidence: 99%

Research on anomaly detection in oil chromatography based on convolutional neural network and grey relational analysis algorithm

Li,

Fu,

Han

et al. 2024

J. Phys.: Conf. Ser.

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The power transformer is a crucial voltage conversion node and a core device in substations. Currently, dissolved gas analysis (DGA) in oil is a practical and validated method for assessing the operational status of transformers. In this study, addressing issues such as insufficient data mining from single dissolved gas measurements, we employed a combination of Convolutional Neural Network and Grey Relational Analysis algorithm to enhance the reliability of identifying abnormal dissolved gas data in transformer oil. This approach improves the sensitivity and accuracy of transformer fault detection. The study includes data processing and result analysis, indicating that the proposed algorithm effectively identifies abnormal dissolved gas data in transformer oil.

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“…Karena adanya ketidakpastian dalam proses evaluasi pada pendekatan saat ini, penelitian ini lebih mengunakan pendekatan metode yang lebih objektif dalam menentukan bobot indikator [21]. Untuk mempertimbangkan secara komprehensif subjektivitas preferensi dan objektivitas informasi data, penelitian ini menggunakan metode entropi untuk bobot prioritas [22]. Kemudian ditentukan bobot indikator evaluasi dalam seleksi operator alat berat dan dilanjutnkan dengan proses perangkingan agar hasilnya tepat.…”

Section: Metode Penelitian A) Metode Mcdmunclassified

Penerapan Metode Entropy Dan Topsis Dalam Seleksi Menentukan Operator Alat Berat

Yulianti,

Nugroho

2023

JURNAL MULTIMEDIA NETWORKING INFORMATICS

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Sering terjadinya pelangaran lalu lintas menjadi kerugian pada perusahaan penyedia alat berat, kesulitan dalam mengendalikan alat berat sering dialami oleh operator saat bekerja, hal terjadi karena seleksi operator alat berat yang belum ketat, sehingga diperlukan bobot kriteria dalam seleksi agar dapat mengurangi resiko tersebut. Perlunya dilakukan pendekatan ini agar operator yang diterima dapat bekerja dengan baik dalam mengoperasikan alat berat dan kemungkinan kecil terlibat masalah saat menjalankan alat berat. Dalam banyak penyelesaian pemasalahan seleksi seperti kasus yang terjadi, penetapan kriteria seleksi dilakukan dengan para ahli, sehingga memungkinkan untuk penerapan metode pendukung keputusan. Metode diusulkan dengan mengabungan 2 model pendekatan untuk seleksi operator. Metode yang digunakan Entropy untuk menghitung bobot kriteria dengan hasil yang akurat dan logis, sedangkan metode TOPSIS digunakan untuk memperoleh rangking akhir alternatif. Hasil yang didapat menunjukan alternatif A5 menempati rangking 1 yang direkomendasikan untuk di terima karena pertimbangan dari proses pendekatan perhitungan berdasarkan kriteria.

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An integrated CRITIC and Grey Relational Analysis approach for investment portfolio selection

Cited by 21 publications

References 37 publications

Evaluating Information Risk Propagation in Complex Public Opinion Environments Based on the Improved Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory Method

Evaluating Information Risk Propagation in Complex Public Opinion Environments Based on the Improved Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory Method

Research on anomaly detection in oil chromatography based on convolutional neural network and grey relational analysis algorithm

Penerapan Metode Entropy Dan Topsis Dalam Seleksi Menentukan Operator Alat Berat

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