In real life, there will be a lot of uncertainty problems, one which is due to the vagueness concept things, that is, it difficult determine whether an object conforms this concept. This situation widely exists in some states, phenomena, parameters and interrelationships between things. For such uncertain events with heavy subjective influencing factors incomplete data, suitable use fuzzy metho...

Fuzzy Cognitive Map is recognized as an important model in soft computing. The theory studies often treat uncertainty modeling and dynamic separately. So far, there no single that can deal with uncertain data environments simultaneously. This paper proposed environment to describe the link between changing weights environment. As extensions of classic Grey Map, two models were designed implemen...

The subject matter of the article is a toolkit and monitoring processes weakly structured business using fuzzy cognitive maps (FCMs). goal to create model for forecasting course based on FCMs, which provide flexibility ability adapt conditions changing circumstances in process be monitored, as well insurance possibility applying unstable FCM.s task develop formal system model; computational FCM...

Fuzzy linguistic cognitive maps are considered. These maps are also applied to simulation of the well-known prisoner’s dilemma. This dilemma has provoked various challenges to game theory and decision making. By virtue of our approach we can use fuzzy rules and reasoning when computer models are constructed. We also aim to show that our approach seems usable in general when complicated phenomen...

The purpose of this paper is to describe an adaptive fuzzy cognitive map based on the random neural network model. The adaptive fuzzy cognitive map changes its fuzzy causal web as causal patterns change and as experts update their causal knowledge. We show how the adaptive random fuzzy cognitive map can reveal implications of models composed of dynamic processes.

INTRODUCTION: The outbreak of COVID-19 has gained ground in many countries, leading towards a global health emergency. Research efforts have been intensified all around the humankind. OBJECTIVE: main objective this paper is to study new pandemic using for first-time theori

Abstract IoT sensors capture different aspects of the environment and generate high throughput data streams. Besides capturing these streams reporting monitoring information, there is significant potential for adopting deep learning to identify valuable insights predictive preventive maintenance. One specific class applications involves using Long Short‐Term Memory Networks (LSTMs) predict faul...

In this paper we present different results and studies around the world about the Fuzzy Cognitive Maps. This technique is the fusion of the advances of the fuzzy logic and cognitive maps theories. At this moment, there are several applications in different domains (control, multiagent systems, etc.) and new works (dynamical characteristics, learning procedures, etc.) to improve the performance ...

This paper reviews applications of fuzzy logic to telecommunications and proposes a novel fuzzy combining scheme for cooperative spectrum sensing in cognitive radio systems. A summary of previous applications of fuzzy logic to telecommunications is given outlining also potential applications of fuzzy logic in future cognitive radio systems. In complex and dynamic operational environments, futur...