nowadays, by the expansion of information technology in human life and dependence of business upon it, data protection, as one the most valuable and critical assets of the organization, has become the vital tool of modern industry and prerequisite for sustaining business process. in order to face the challenges and to take advantage of new opportunities brought forth by it advances we suggest o...

in this article, a speed control of dc motor is designed and illustrated using fuzzy logic-based programmable logic controller (plc). the dc motor is an attractive part of electrical equipment in many industrial applications requiring variable speed and load specifications due to its ease of controllability. the designed system is consisted of three main parts including programmable logic contr...

Load sensor is developed using fuzzy logic as well as neuro-fuzzy method. It is two inputs and one output sensor. Both fuzzy logic and neuro-fuzzy algorithms are simulated using MATLAB fuzzy logic toolbox. This paper outlines the basic difference between the results of fuzzy logic and neuro-fuzzy algorithms and provides the better algorithm for load sensor. Index Terms —fuzzy logic, load sensor...

fuzzylogic computes a multi-criteria evaluation by means of either a boolean analysis, weightedlinear combination (wlc) and ordered weighted averaging (owa) of factor images. owa works withstandardized factor images and employs a variant of the wlc. it takes into account the risk associated withthe decision and degree of tradeoff associated with the variables in the analysis. in this research, ...

The integration of the Artificial Neural Network (ANN) and Fuzzy Logic (FL) in one architecture in order, to overcome the individual limitations and to achieve synergetic effects through a combination of these techniques, has a in recent years contributed to a large number of Neuro-Fuzzy (NF) architectures. NF techniques override the classical control methods in many aspects, such as algorithm ...

Knowledge-based systems (KBS) and intelligent computing systems have been used in the medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning (RBR), case-based reasoning (CBR) and model-based reasoning (MBR) whereas intelligent computing method (ICM) encompasses genetic algorithm (GA), artificial neural network (ANN), fuzzy logic (FL) and others. The combination of m...

In this document we carry out a comparative analysis of the application of Fuzzy Logic Controllers (hereinafter FLCs), Fuzzy Temporal Rules-Based Controllers (hereinafter FTRCs), Temporal Fuzzy Logic Controllers (hereinafter TFLCs) and Faded Temporal fuzzy Logic Controllers (hereinafter FTFLCs), to improve the adaptive distributed routing. To obtain a good knowledge base the controllers were ev...

The objective of the proposed work is to investigate the performance of hybrid self tuned fuzzy proportional integral derivative (STFPID) controller for brushless DC (BLDC) motor drive. The proposed hybrid STFPID controller includes a proportional integral derivative (PID) controller at steady state, a PID type self tuned fuzzy logic (FL) controller (STFLC) at transient state thereby combining ...

Software Reliability is the probability of failurefree software operation for a specified period of time in a specified environment. Software Reliability is also an important factor affecting system reliability. Software Reliability without excessive limitations. Various approaches can be used to improve the reliability of componentbased software system, however, it is hard to balance developme...

The accurate interpretation of Blood Glucose (BG) values is essential for diabetes care. However, BG monitoring data does not provide complete information about associated meal and moment of measurement, unless patients fulfil it manually. An automatic classification of incomplete BG data helps to a more accurate interpretation, contributing to Knowledge Management (KM) tools that support decis...