<p class="MsoTitle" style="text-align: justify; text-indent: 21.3pt; line-height: normal;"><em><span style="font-size: 10pt;">The three-phase induction motor is an alternative to changing the diesel engine as main driver in industrial world. This transition aimed at energy efficiency and reducing air pollution from exhaust gases. It was chosen because it easy operate, quiet lo...

Black-Hole and Gray-Hole attack considers two of the most affected kind of attacks on the Mobile Ad-Hoc Network (MANET). Therefore, the use of intrusion detection system (IDS) has a major importance in the MANET protection. In this paper, a proposed optimized fuzzy based intrusion detection system is presented with an automation process of producing a fuzzy system by using an Adaptive Neuro-Fuz...

The paper discusses the application of fuzzy logic and fuzzy inference systems (FIS) as an effective tool for alerting decision makers of impending economic crises. Following a promising literature-based approach, we build an experimental system model for validation on credit growth and housing market historical data. The system is subsequently applied using the two key economic indicators for ...

short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . these results made the hybrid tools and approaches a more common method for ...

Early prediction of defect prone modules helps in better resource planning, test planning and reducing the cost of defect correction in later stages of software lifecycle. Early prediction models based on design and code metrics are difficult to develop because precise values of the model inputs are not available. Conventional prediction techniques require exact inputs, therefore such models ca...

paper describes the design and implementation of an inference engine for the execution of Fuzzy Inference Systems (FIS), the architecture of the system is presented, and the object-oriented design of the main modules is also discussed. The engine is implemented as a component to be referenced by other applications locally or remotely as a web service. This engine is needed by our research group...

In this chapter, the capability of the fuzzy inference systems (FISs) to model and provide evaluations in the educational context is further explored through the merits of the intuitionistic fuzzy inference systems (IFISs). The Intuitionistic Fuzzy Logic enables the capture and expression of uncertainty and hesitancy with an IFIS model, thus it extends the fuzzy logic capabilities. In this chap...

Supplier evaluation is an important problem in industrial management. An accurate evaluation can reduce the costs and increase the quality of products. There are various studies for evaluation of suppliers. However, this problem has been complicated by uncertain data and multiple criteria. In this study we develop a Fuzzy Inference System (FIS) to deal with uncertain data and evaluate suppliers...

Edge detection is one of the most important low level steps in image processing. In this work we propose a fuzzy ensemble based method for edge detection including a fuzzy c-means (FCM) approach to define the input membership functions of the fuzzy inference system (FIS). We tested the performance of the method using a public database with ground truth. Also, we compared our proposal with class...