M Flores-Sosa, E Avilés-Ochoa, JM Merigó… - Applied Soft …, 2022 - Elsevier
Multiple linear regression (MLR) is one of the most widely used statistical procedures for scholarly and research. The main limitation of MLR is that when being estimated with linear …
M Flores-Sosa, E Avilés-Ochoa, JM Merigó… - Information sciences, 2021 - Elsevier
Volatility is an important issue for companies, policy-makers, and researches. Autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH (GARCH) …
The induced ordered weighted average is an averaging aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum …
This article applies the Bonferroni prioritized induced heavy ordered weighted average (OWA) to analyze a series of data and focuses on the Bonferroni average and heavy …
El proceso de toma de decisiones tiene una incidencia relevante en los resultados de las empresas, lo que ha llevado a desarrollar novedosos métodos que permitan evaluar bajo …
Averaging aggregation operators analyse a set of data providing a summary of the results. This study focuses on the Bonferroni mean and the induced and heavy aggregation …
LA Pérez-Arellano, E León-Castro… - International Journal of …, 2019 - Springer
A new extension of the ordered weighted average (OWA) operator is presented. This new operator includes the characteristics of three other operators: the prioritized, induced and …
The prioritized induced probabilistic ordered weighted average distance (PIPOWAD) has been developed. This new operator is an extension of the ordered weighted average (OWA) …
M Olazabal-Lugo, E Leon-Castro… - … Cybernetics Studies & …, 2019 - researchgate.net
The paper presented different exchange rate forecasting models based on fundamental economics using different aggregation information operators such as heavy moving …