A machine learning-integrated multi-criteria decision-making approach based on consensus for selection of energy storage locations

I Yilmaz, A Adem, M Dağdeviren - Journal of Energy Storage, 2023 - Elsevier
In this research, the location of energy storage systems (ESS) is decided by comparing and
contrasting multi-criteria decision-making (MCDM) methods and machine learning (ML) …

Financial performance and distress profiles. From classification according to financial ratios to compositional classification

S Linares-Mustarós, G Coenders… - Advances in …, 2018 - Elsevier
Financial ratios are often used in cluster analysis to classify firms according to the similarity
of their financial structures. Besides the dependence of distances on ratio choice, ratios …

Changes in the market structure and risk management of Bitcoin and its forked coins

X Kong, C Ma, YS Ren, S Narayan, TT Nguyen… - … in International Business …, 2023 - Elsevier
Inconsistency of consensus results in blockchain forks, which create a new financial risk.
After filtering out Bitcoin's linear, nonlinear, and lag impacts on forked coins, this study …

Plantitas/Plantitos preference analysis on succulents attributes and its market segmentation: Integrating conjoint analysis and K-means clustering for gardening …

AKS Ong, YT Prasetyo, LAS De Leon, ID Ayuwati… - Sustainability, 2022 - mdpi.com
Many people have switched to gardening as their new hobby during the COVID-19
pandemic, including Filipinos. With its increasing popularity, Filipinos called the new …

Financial times series forecasting of clustered stocks

F Affonso, TMR Dias, AL Pinto - Mobile Networks and Applications, 2021 - Springer
Predicting the stock market is a widely studied field, either due to the curiosity in finding an
explanation for the behavior of financial assets or for financial purposes. Among these …

A clustering approach to identify the organizational life cycle

A Mousavi, M Mohammadzadeh, H Zare - Journal of Open Innovation …, 2022 - mdpi.com
This is an analytical, descriptive, and cross-sectional case study to identify a pharmaceutical
company's organizational life cycle (OLC) situation using clustering methods. Data came …

[PDF][PDF] Portfolio construction using financial ratio indicators and classification through machine learning

HM Sami - Int. J. Manag. Account, 2021 - universepg.com
Financial Ratios have been a major indicator for financial asset selection. It's seen that the
decision taken to construct a portfolio based on financial ratio indicators has been able to …

An integrated K-means-GP approach for US stock fund diversification and its impact due to COVID-19

DK Sharma, HS Hota… - International Journal of …, 2022 - inderscienceonline.com
The stock fund diversification process is a tedious task due to the erratic nature of the stock
market. On the other hand, work is more challenging due to high annual return expectations …

Finansal Göstergeler Açısından Borsa İstanbul'da Faaliyet Gösteren Üretim Şirketlerinin Değerlendirilmesi: Silhouette İndeksine ve Elbow Yöntemine Göre K …

Ç Özarı, EN Can - Muhasebe Enstitüsü Dergisi, 2023 - dergipark.org.tr
Bu çalışmanın ana amacı, k-ortalamalar kümeleme yöntemi kullanılmak suretiyle, Borsa
İstanbul'da faaliyet gösteren üretim şirketlerini, finansal tablolarından hareketle hesaplanmış …

Clustering on Small-scale Food Manufacturing Industry in West Jakarta: A Fuzzy Analytical Hierarchy Process Approach

S Sulistiandi, B Marpaung… - IOP Conference Series …, 2020 - iopscience.iop.org
The small-scale food manufacturing industry has become the most dominant sector in
Jakarta, in terms of number and manpower absorption. However, they are challenged with …