Logic functors dynamic fuzzy logic threshold dependent fuzzy logic. component as a parameter in generateExcel() and generate a dynamic excel sheet. In this work we will define the logical functor, we will show its logical operation procedure and we will show the electronic circuit in which a functional model was implanted. If you need specific logic for TypeScript you can use: if TypeScript. The value of the logical functor threshold can be a time dependent function in such a way that, when varying the threshold, the form that the functor takes as logical connective changes for each time dependent threshold function value in time. If we apply time varying signals to the functor, we will see that the responses of the functor depend on the concordances of the input signals and the frequency threshold value. We will show that fuzzy logic connectives are generated by a defined group of inputs from this fuzzy functor as dependence of frequency threshold. This functor was a result of the frequency threshold dependent fuzzy logic. This is a fuzzy logical element from which we can generate all the fuzzy connectives as particular cases of it. Abstract reprinted with permission of Elsevier.PEREZ-SILVA, J. Find a library where document is available.From the results of both scenarios for overtaking and following, it illustrates that the timing is significant for strategy selection and should well consider the complex situation and ship behaviours, moreover, the proposed approach can be used for intelligent strategy selection. speed, distance, and traffic flow) are comprehensively considered in the modelling process.

The decision-making model is achieved from the perception-anticipation-inference-strategy perspective, and the dynamic features of ships (i.e. The proposed model can be implemented in the decision support system for safe navigation or be included in the process of autonomous navigation. This chapter applies fuzzy logic to a dynamic causal mining (DCM) algorithm and argues that DCM, a combination of association mining and system dynamics for discovering causality patterns, needs a potentially more substantive approach for the user to understand the nature of extracted rules and information in a variety of contexts. According to the index system of evaluation. Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless. The dynamic characteristics of navigation process, including free navigation, ship following and ship overtaking, are further analysed. Based on the theory of dynamic fuzzy logic, dynamic fuzzy sets and dynamic fuzzy evaluation method are proposed. This paper proposes a fuzzy logic-based intelligent decision-making approach for navigation strategy selection in the inland traffic separation scheme. Fuzzy logic based dynamic decision-making system for intelligent navigation strategy within inland traffic separation schemes

Dynamic fuzzy logic