Titlebook: Artificial Intelligence in Control and Decision-making Systems; Dedicated to Profess Yuriy P. Kondratenko,Vladik Kreinovich,Anna M. Gil Boo

florid

Evolving Stacking Neuro-Fuzzy Probabilistic Networks and Their Combined Learning in Online Pattern Rhe proposed method is based on a modification of the classical probabilistic neural network by D. Specht, improved with combined learning, which includes classical supervised learning, “l(fā)azy learning” based on the concept of “Neurons at data points”, self-learning based on the rule “Winner takes all

SENT

Intelligent Information Technology for Structural Optimization of Fuzzy Control and Decision-Making based on the evolutionary search of the optimal membership functions. The proposed IIT uses a combination of different (two or more) bioinspired evolutionary algorithms and allows finding the optimal membership functions of linguistic terms at solving the compromise problems of multi-criteria struct

火花

Neural and Granular Fuzzy Adaptive Modeling fuzzy approaches. Neuro-fuzzy networks have shown to be highly competitive with multilayer neural networks, but their performance have not been yet contrasted with contemporary adaptive granular modeling methods such as evolving min-max modeling. Neuro-fuzzy network and granular evolving min-max mo

Charlatan

State and Action Abstraction for Search and Reinforcement Learning Algorithmsthe rising complexity of simulated environments, agents have access to plenty of data but need to carefully focus their attention if they want to be successful. While action abstractions reduce the complexity by concentrating on a feasible subset of actions, state abstractions enable the agent to be

Agronomy

A Tentative Algorithm for Neurological Disordersheir concerns to solve or alleviate a problem that casts a shadow over the lives of so many humans: neurological disorders. With this general objective, the authors have chosen among them, Parkinson‘s disease (PD). There are two main objectives sought:.These two aspects of the work will allow us to

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Human-Centric Question-Answering System with Linguistic Termsstions that do not contain imprecise concepts and lead to short answers. This paper introduces a Human-Centric Question-Answering system capable of answering questions containing user-defined, personalized linguistic terms. The system works with information represented in the form of knowledge graph

Minuet

泛濫

Evaluation of the Perception of Public Safety Through Fuzzy and Multi-criteria Approach of this study was to obtain a ranking of alternatives of the four quadrants into which the city was divided and thus knowing the social dynamics, perception of insecurity and evaluation of the authorities responsible for providing public security. To collect the data, a questionnaire was used throu