Network lifetime improvement and uncertainty in multiple systems are the issues of wireless sensor network routing. This paper presents fuzzy based particle swarm optimization routing technique to improve the network scalability. Significantly, in the cluster formation procedure, fuzzy based system is used to solve the uncertainty and network balancing. Cluster heads play an important role to r...

All practical digital circuits are usually a mixture of combinational and sequential logic. Flip–flops are essential to sequential logic therefore fuzzy flip–flops are considered to be among the most essential topics of fuzzy digital circuit. The concept of fuzzy digital circuit is among the most interesting applications of fuzzy sets and logic due to the fact that if there has to be an ultimat...

Characterization of radio communication signals aims at automatic recognition of different characteristics of radio signals in order to detect their modulation type, the central frequency, and the level. Our purpose is to apply techniques used in image processing in order to extract pertinent characteristics. To the single analysis, we add several rules for checking the consistency of hypothese...

The present article discusses and presents a new comprehensive approach aimed at measuring the maturity and quality of software processes. This method has been designed on the basis of Software Capability Maturity Model (SW-CMM) and the Multi-level Fuzzy Inference Model and is used as a measurement and analysis tool. Among the most important characteristics of this method one can mention simple...

This paper presents the design and implementation of the WebGD, a CORBA-based document classification and retrieval system on Internet. The WebGD makes use of such techniques as Web, CORBA, Java, NLP, fuzzy technique, knowledge-based processing and database technology. Unified classification and retrieval model, classifying and retrieving with one reasoning engine and flexible working mode conf...

The anti-lock braking systems installed on vehicles for safe and effective braking, are high-order nonlinear and timevariant. Using fuzzy logic controllers increase efficiency of such systems, but impose a high computational complexity as well. The main concept introduced by this paper is reducing computational complexity of fuzzy controllers by deploying problem-solution data structure. Unlike...

This paper uses a Fuzzy Expert System (FES) in order to evaluate firms in terms of Gender Equity (GE). The scope for using FES is connected not only to the multidimensional nature of GE and to the need of providing a synthetic indicator of firm’s GE without losing the its complexity, but even with the composite group of experts involved. The presence of sociologists, economists trade unions mem...

During the past several years fuzzy logic control has swell from one of the major active and profitable areas for research in the application of fuzzy set, especially in the zone of industrial process which do not lead themselves to control conventional methods because of lack of quantitative data regarding the input-output relations. Fuzzy control is based on fuzzy logica logical system which ...

Feature subset selection supports the classification task by reducing the search space as well as by removing irrelevant and random features, which might compromise the resulting classification model. Decision trees perform an embedded feature selection as they select only the relevant features for the splitting of the datasets during the induction process. FUZZYDT is a fuzzy decision tree whic...

In this paper, simulation results using MATLAB / SIMULINK of conventional and fuzzy type both power system stabilizers are shown. The performance of the proposed model is tested and performed on Single Machine Infinite Bus System (SMIB). By using different K constant, the performance of SMIB system with proposed model has been analyzed under different system condition i.e. SMIB with excitation ...