Permeability is the ability of porous rock to transmit fluids and one of the most important properties of reservoir rock because oil production depends on the permeability of reservoirs. Permeability is determined using a variety of methods which are usually expensive and time consuming. Reservoir rock properties with image analysis and intelligent systems has been used to reduce time and money...

The present study aims to develop a new hybrid Fuzzy Simulink model to assess the groundwater quality levels in Tiruchirappalli city, South India. Water quality management is an important issue in the modern times. The data collected for Tiruchirappalli city have been utilized to develop the approach. This is illustrated with seventy nine groundwater samples collected from Tiruchirappalli city ...

Network Congestion occurs when the aggregate demand for bandwidth exceeds the available capacity of a link and when the arrival rate to the router is greater than its departure. To solve this problem, it is necessary that the router must implement effective queuing algorithm that governs how packets are buffered while waiting to be transmitted. According to the dynamic of input packets and avai...

New trends and the effect of key factors influence the quality of the holes produced by ECM processes. Researchers developed a fuzzy logic controller by adding intelligence to the ECM process. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An e...

Subcontractor performance directly affects project success. The use of inappropriate subcontractors may result in individual work delays, cost overruns, and quality defects throughout the project. This study develops web-based Evolutionary Fuzzy Neural Networks (EFNNs) to predict subcontractor performance. EFNNs are a fusion of Genetic Algorithms (GAs), Fuzzy Logic (FL), and Neural Networks (NN...

The financial failure of most commercial banks is hardly identified and detected. Machine learning techniques as Fuzzy logic (FL), Artificial Neural network (ANN), Case based reasoning (CBR) and Rule based system (RBS) are important techniques that are used in prediction and forecasting generally. This paper introduces a fuzzy logic based proposed model which can help the decision maker in comm...

the idea of this paper is designing an automatic fault detection system based on fuzzy logic, therefore two signals of pmsm in fault condition are analyzed for inter turn fault detection: current and torque. in this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of wavelet transform and fcm a new method f...

Many synergisms have been described in the past between soft computing techniques such as Neural Networks (NN), Fuzzy Logic (FL) and Genetic Algorithms (GA) which have not only shown that such hybrid structures can work well but also add more robustness to the control system under consideration. In this paper, a new control architecture is proposed whereby the 2 on-line generated fuzzy rules re...

In this paper we present a system of Arabic characters recognition dedicated to the automatic reading of ACR (Arabic Character Recognition). The developed system is a Fuzzy classifier: Fuzzy Logic (FL) combined with the Expert System (ES) to extract the topological and the contextual informations of each Print character. This combination is very useful to improve the powerful of Hybrid Intellig...

The pandemic COVID-19 disease has had a dramatic impact on almost all countries around the world so that many hospitals have been overwhelmed with cases. As medical resources are limited, deciding proper allocation of these is very crucial issue. Besides, uncertainty major factor can affect decisions, especially in fields. To cope issues, we use fuzzy logic (FL) as one most suitable methods mod...