This paper discusses a fuzzy logic control system designed to determine, regulate and maintain the amount of suction needed by a robotic gripper system to perform reliable limp material manipulation. A neuro-fuzzy approach is followed to determine the amount of desired suction (depending on experimentally derived data and plant characteristics). A knowledge-based valve controller is then design...

Emotion regulation looks into methods and strategies that humans use in order to control and balance their possible extreme levels of emotions. One important challenge in building a computational model of emotions is the mainly non-quantitative nature of this problem. In this paper, we investigate a Fuzzy logic approach as a possible framework for providing the required qualitative and quantita...

The important field of research on ship operation is related to the high efficiency of transportation, the convenience of maneuvering ships, and the safety of navigation. This paper proposes an ontology-based fuzzy support agent for ship steering control and desires to testify the validity of the proposal by applying the fuzzy control model to the steering control system based on linguistic ins...

At present time configurable wireless sensor networks are given special consideration. Wireless sensor networks are now a static elements union. To make such a network a powerful system that is able to replace traditional computers, research is required of the application of different theories and technologies for sensor network development. However, building models of approximate reasoning and...

The aim of this study is to formulate an analysis model which can express the security grades of software vulnerability and serve as a basis for evaluating danger level of information program or filtering hazardous weaknesses of the system and improve it to counter the threat of different danger factors. Through the utilization of fuzzy analytic hierarchy process (FAHP), we will organize the cr...

The single input rule modules (SIRMs) based type-1 fuzzy inference systems (SIRM-T1FISs), which assign each input item with a rule module, can greatly reduce the number of fuzzy rules and have found lots of applications. This paper extends SIRMT1FISs to the interval type-2 case to achieve better performance. Furthermore, the properties of the SIRMs based interval type-2 fuzzy inference systems ...

This paper presents a method of maximum power point tracking, MPPT using adaptive fuzzy logic control for grid connected photovoltaic system. The system composed of photovoltaic module, boost converter and the fuzzy logic controller. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of MOSFET switch of boost converter. The complete simulation resul...

At the conceptual stage of design, designers have only vague ideas of initial shapes that they gradually refine. A tool that supports conceptual design should capture such imprecise features but current CAD systems that are based on precise geometry and topology information cannot satisfy this requirement. The fuzzy set approach is particularly suitable for handling imprecise information by pro...