Prolongation detection with application of fuzzy logic

Using fuzzy FMEA and fuzzy logic in project risk management

Risk management is one of the most important phases of project management and isthe most recently used by many researchers. In this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.Then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy FMEA a...

Designing an Intelligent Intrusion Detection System in the Electronic Banking Industry Using Fuzzy Logic

One of the most important obstacles to using Internet banking is the lack of Stability of transactions and some misuse in the course of transactions it is financial. That is why preventing unauthorized access Crime detection is one of the major issues in financial institutions and banks. In this article, a system of intelligence has been designed that recognizes Suspicious and unusual behaviors...

UAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification

Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detec...

Improving the Calculation of RPN in the FMEA Method by Combining a Nonlinear Model with Revised TOPSIS and Fuzzy Logic

Introduction: Failure Mode and Effects Analysis (FMEA) is a structured way to find and understand the states of a system’s failure and to calculate the resulting effects. In this method, which has been criticized by many researchers, the risk priority number is obtained for each failure mode based on the multiplication of the three parameters of occurrence (O), severity (S) and detection (D). I...

An application of fuzzy logic in measuring a systems eectiveness