Search Results - subject:"clustering"

A multi-stage approach for external trucks and yard cranes scheduling with CO2 emissions considerations in container terminals

Talaat, Ahmed; Gheith, Mohamed Samir; Eltawil, Amr Bahgat - In: Logistics 7 (2023) 4, pp. 1-23

employs a K-means clustering algorithm to reduce the number of necessary truck trips for container handling. Additionally, a …. Conclusions: The integration of data clustering with mathematical modeling demonstrates a notable reduction in emissions …

Persistent link: https://www.econbiz.de/10014454635

A new intuitionistic fuzzy correlation coefficient approach with applications in multi-criteria decision-making

Bajaj, Jyoti; Kumar, Satish - In: Decision analytics journal 9 (2023), pp. 1-15

, medical illness diagnosis, clustering, and Multi-Criteria Decision-Making (MCDM) to further exhibit its practicability and …

Persistent link: https://www.econbiz.de/10014532457

Linguistic clustering and aggregate productive efficiency in Indonesia

Repkine, Alexandre - In: Applied economic analysis : AEA 31 (2023) 92, pp. 126-144

Persistent link: https://www.econbiz.de/10014490807

A K-means clustering model for analyzing the Bitcoin extreme value returns

Das, Debasmita; Kayal, Parthajit; Maiti, Moinak - In: Decision analytics journal 6 (2023), pp. 1-11

) estimators that embed jumps in the model. Further, K-means clustering is used to form clusters based on the estimated Bitcoin …-means clustering can explain 65 percent point return variability. The study findings will be highly useful for crypto investors …

Persistent link: https://www.econbiz.de/10014337127

Assessing the accuracy of exponentially weighted moving average models for value-at-risk and expected shortfall of crypto portfolios

Alexander, Carol; Dakos, Michael - In: Quantitative finance 23 (2023) 3, pp. 393-427

Persistent link: https://www.econbiz.de/10014232660

Implementing AIRM : a new AI recruiting model for the Saudi Arabia labour market

Aleisa, Monirah Ali; Beloff, Natalia; White, Martin - In: Journal of innovation and entrepreneurship : JIE 12 (2023), pp. 1-41

first layer of the AIRM architecture uses balanced iterative reducing and clustering using hierarchies (BIRCH) as a … clustering algorithm for the initial screening layer. The mapping layer uses sentence transformers with a robustly optimised BERT …

Persistent link: https://www.econbiz.de/10014496912

The EU's socio-economic development against the backdrop of the war in Ukraine

Boichenko, Kateryna; Ashraf, Rana Umair; Mata, Mário Nuno - In: Central European economic journal 10 (2023) 57, pp. 72-89

The war in Ukraine affects the European Union (EU) member states asymmetrically. The purpose of the study is to determine changes in the development of the EU countries in three key directions: ‘economy and environment’, ‘business and trade’, and ‘people and work’; to identify...

Persistent link: https://www.econbiz.de/10014444887

A numerical comparative study of completion methods for pairwise comparison matrices

Tekile, Hailemariam Abebe; Brunelli, Matteo; Fedrizzi, … - In: Operations research perspectives 10 (2023), pp. 1-11

the basis of numerical simulations and hierarchical clustering. We perform simulations for matrices of different orders …

Persistent link: https://www.econbiz.de/10014448227

Why do banks fail? : an investigation via text mining

Le, Hong Hanh; Viviani, Jean-Laurent; Fitriya Fauzi - In: Cogent economics & finance 11 (2023) 2, pp. 1-19

clustering, and topic modeling, are employed for the investigation. The pre-processing step of text cleaning is first performed …

Persistent link: https://www.econbiz.de/10014502827

The impact of firm leverage on investment decisions : the new approach of hierarchical method

Mo Tran Thi; Ha Hoang Thi Thu; Diep Nguyen Thi Thanh - In: Cogent business & management 10 (2023) 2, pp. 1-19

effects on investment. Especially, the impact of leverage at the first level of data clustering on investment gets stronger …

Persistent link: https://www.econbiz.de/10014504945