Neuro-fuzzy modeling has been intensively studied since the early nineties. Recently a method has been disclosed, that uses a classical feedforward neural network with just one hidden layer. Nodes of the hidden layer use the logistic function as activation function meanwhile the output node has a linear activation function. This paper introduces a generalization of the logistic function and eva...

Abstract. In a network the arc lengths may represent time or cost. In practical situations, it is reasonable to assume that each arc length is a type-2 discrete fuzzy set. We called it the type-2 discrete fuzzy shortest path problem. In this paper we proposed an algorithm for finding shortest path and shortest path length from source node to destination node using type reduction method. We have...

Network delay; Mobile ad hoc network; Trapezoidal fuzzy numbers; Path length Abstract Several parameters like routing protocol, mobility pattern, average speed of mobile nodes, path length from source to destination, previous delay, etc., affect the end-to-end packet delay in mobile ad hoc network. But the nature of relationship between end-to-end delay and those parameters is still unclear. In...

An "on-line" time series prediction system EFuNN-T based on a model of evolving fuzzy neural network------EFuNN is presented in this paper. EFuNN, as a particular type of evolving fuzzy neural network, evolves both its structure and parameters to accommodate new coming data. EFuNN-T, as an application of EFuNN in the field of time series prediction, performs "one-step" ahead prediction in an "o...

In the context of modern power systems the multi objective feeder reconfiguration problem has assumed significant importance. This paper presents a fuzzy set theory based approach for the multi objective network reconfiguration of distribution system. The multiple objectives which are met are feeder balancing, minimize power losses, feeder-current constraints and deviation of node voltage. The ...

In this paper we introduce two polytopes that respect a digraph in the sense that for every vector in the polytope every component corresponds to a node and is at least equal to the component corresponding to each successor of this node. The sharing polytope is the set of all elements from the unit simplex that respect the digraph. The fuzzy polytope is the set of all elements of the unit cube ...

The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sinoatrial node field potential. The field potential was recorded using microelectrode arrays (MEA). The experimental data were analyzed using partial least squares (PLS), support vector machine (SVM), back propagation neural network (BPNN) and the pr...

Social networking services (SNS) have had a rapid development. To explore the interpersonal node spatial distribution characteristics in SNS community, a fuzzy SNS community centrality analysis method is proposed, which combines graph-theory with related fuzzy approaches. A case study on two types of topic groups in Ren Ren Net is conducted. The study finds that centralization characteristics e...

The 4 generation wireless communication systems aim to provide users with the convenience of seamless continuous connection to access various wireless technologies and to have the connection with the best network which provides the best Quality of service. To achieve this goal it is necessary to have a good decision making algorithm which decides the best network for a specific application unde...

I n this paper we describe and test how information from multiple sources can be combined into a robust visual seruoing system. The main objective is integration of visual cues to provide smooth pursuit in a cluttered environment using a minimum or no calibration. For that purpose, voting schema and fuzzy logic command fusion are investigated. It is shown that the integration permits detection ...