HB Abdalla, B Abuhaija - Journal of Information & Knowledge …, 2023 - World Scientific
Data over the internet has been increasing everyday, and automatic mining of essential information from an enormous amount of data has become a challenging task today for an …
This paper presents a comprehensive review of evolutionary algorithms that learn an ensemble of predictive models for supervised machine learning (classification and …
Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions …
In the last years, multi-objective evolutionary algorithms (MOEAs) have been extensively used to generate sets of fuzzy rule-based classifiers (FRBCs) with different trade-offs …
In this paper, we propose a novel Evolutionary Mamdani Fuzzy Rule-based System named DECO 3 RUM (Differential Evolution based Cooperative and Competing learning of …
The significance and benefits of addressing classification tasks in Big Data applications is beyond any doubt. To do so, learning algorithms must be scalable to cope with such a high …
Studies in Evolutionary Fuzzy Systems (EFSs) began in the 90s and have experienced a fast development since then, with applications to areas such as pattern recognition, curve‐fitting …
B Srivani, N Sandhya… - International Journal of …, 2020 - content.iospress.com
Rapid growth in technology and information lead the human to witness the improved growth in velocity, volume of data, and variety. The data in the business organizations demonstrate …
The significance of addressing Big Data applications is beyond all doubt. The current ability of extracting interesting knowledge from large volumes of information provides great …