Interval type-3 fuzzy aggregation for hybrid-hierarchical neural classification and prediction models in decision-making
M Ramírez, P Melin, O Castillo - Axioms, 2023 - mdpi.com
In all organizations, many decision analysts acquire their skills through the experience of
facing challenges to structure complex problems. Therefore, every day, the use of tools to …
facing challenges to structure complex problems. Therefore, every day, the use of tools to …
A new perspective for multivariate time series decision making through a nested computational approach using type-2 fuzzy integration
M Ramirez, P Melin - Axioms, 2023 - mdpi.com
The integration of key indicators from the results of the analysis of time series represents a
constant challenge within organizations; this could be mainly due to the need to establish …
constant challenge within organizations; this could be mainly due to the need to establish …
Literature Review on Prediction with Neural Networks
P Melin, M Ramirez, O Castillo - … , and Time Series Prediction by Using …, 2024 - Springer
This chapter presents a theoretical summary of the methods used to design the proposed
model, focusing on the general concepts of neural networks and fuzzy systems to address …
model, focusing on the general concepts of neural networks and fuzzy systems to address …
Virtual-Blockchain Method Database-Tuning: Displaying Real-Time Aggregate-Fire-Strength for Fuzzy Logic Database
Database tuning on fuzzy logic (FLDT) associated with relational database management
systems (RDBMS) has not been based on any algorithm during the last two decades. FLDT …
systems (RDBMS) has not been based on any algorithm during the last two decades. FLDT …
[PDF][PDF] ÇOK KRİTERLİ KARAR VERME YÖNTEMİ İLE KARMAŞIK AĞDAKİ DÜĞÜMLERİN AYIRT EDİLEBİLİRLİĞİNİN ARTIRILMASI İÇİN BİLEŞİK MERKEZİLİK …
L SABAH, DOÇDRM ŞİMŞEK - researchgate.net
Centrality measures are fundamental tools for analyzing complex networks, which are
widely used to identify the most important nodes in a network. However, selecting the …
widely used to identify the most important nodes in a network. However, selecting the …