In Round Robin CPU scheduling algorithm the main concern is with the size of time quantum and the increased waiting and turnaround time. Decision for these is usually based on parameters which are assumed to be precise. However, in many cases the values of these parameters are vague and imprecise. The performance of fuzzy logic depends upon the ability to deal with Linguistic variables. With th...

abstract evapotranspiration as one of the most important components of the hydrologic cycle, plays a key role in water resources management, crop yield simulation and irrigation scheduling. therefore, presenting a low cost and precision model is very essential for calculations of hourly eto. although, there are empirical formulas, their performances are not all satisfactory due to the complicat...

This paper addresses the problem of trajectory tracking control in an autonomous, wheeled, mobile robot of unicycle type using Fuzzy Logic. The Fuzzy Logic Control (FLC) is based on a backstepping approach to ensure asymptotic stabilization of the robot’s position and orientation around the desired trajectory, taking into account the kinematics and dynamics of the vehicle. We use the Mamdani in...

Predicting of conformational epitope is one of the major challenge in the field of vaccine design. Several methods have been developed for predicting conformational epitope but that methods have mostly been based on protein sequence and not very effective. This is the first attempt in this are to predict conformational epitope using fuzzy inference system mamdani. The proposed method based on a...

nowadays, it has demonstrated that viruses can be transmitted by water and foods. therefore, it causes the research to develop for detecting different viruses in water and foods. among foods, milk can transfer potentially pathogenic viruses. on the other hand, to achieve every method for recovery and extraction of viruses in raw milk it needs to know about impact of milk components on viruses. ...

One of the most promising areas scientific research in field analysis, forecasting and modelling economic phenomena processes is fuzzy logic. In article with use logic apparatus (Fuzzy Logic toolkit MATLAB software package) a model for assessing development manufacturing indicators developed. Key evaluating activities energy enterprises are analysed. The based on microeconomic enterprises’ effi...

The aims of this study is to propose a model for managing customer experience analytics focused on value generated in an online market, explore touch points experience, measured with conventional indicators and fuzzy indicators, using structural equation analysis Mamdani inference method. investigation has delved deeper into the nature construct, results revealed empirical confirm regarding how...

--------------------------------------------------------------------ABSTRACT-----------------------------------------------------------------The fuzzy logic and expert system is an important technique to enhance the machine learning reasoning. In this paper, we propose a fuzzy expert system framework which constructs large scale knowledge based system effectively for diabetes. The knowledge is ...

The primary aim of this research is to design a Fuzzy Inference System for diagnosing brain diseases. The design was carried out with MATLAB software using the Mamdani inference method. The scope of the work is extended to five brain diseases, namely Alzheimer’s disease, Creutzfeldt Jakob disease, Huntington’s disease, Multiple Sclerosis and Parkinson’s disease. The system has four input variab...