International Journal of Fuzzy Systems and Advanced Applications
E-ISSN: 2313-0512
Volume 2, 2015
Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.
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Volume 2, 2015
Title of the Paper: Vibration Control of Active Vehicle Suspension Using Fuzzy Based Sliding Surface
Authors: H. Metered, M. Kozek, Z. Šika
Pages: 41-48
Abstract: Fuzzy based sliding surface (FBSS) control algorithm is a nonlinear control method that adjusts the dynamics of linear and nonlinear systems by use of a discontinuous control signal. Up to date, fuzzy logic control (FLC) technique has used as one of the most
Title of the Paper: Positioning Monitoring Improvement in a Horizontal Plane INS by Using Fuzzy Logic Data Fusion for Denoising of Inertial Sensors in Redundant Clusters
Authors: Teodor Lucian Grigorie, Ruxandra Mihaela Botez
Pages: 33-40
Abstract: The paper presents an application of fuzzy logic techniques in inertial navigation systems performance improvement, providing to the navigation processor denoised acceleration and angular speed data. For this purpose, some redundant clusters of sensors are used to sense acceleration or angular speed in each axis of the inertial measurement unit. The fuzzy logic denoising procedure fuses the data in each redundant detection cluster, being based on the idea that each sensor from an axis (measuring acceleration or angular speed) has a weight established in a fuzzy logic manner as a function of the standard deviation of the last m samples acquired from it. Starting from this procedure some experimental tests were performed by using a bi-dimensional INS navigator with a redundant MEMS inertial measurement unit, and an integrated GPS/INS navigator as reference positioning system. Each redundant cluster in the tested INS detection unit contains six sensors, having its sensitivity axes parallel and oriented in the same sense. The results show an important reduction of the navigation solution errors in comparison with the non-redundant navigation solutions obtained by the processing of the data provided to the navigation algorithm by the sensors having the same index in the clusters (it results six non-redundant INSs).
Title of the Paper: An Intelligent Approach to Employee Performance Evaluation
Authors: Zeki Ayağ
Pages: 24-32
Abstract: The evaluation process of employee performance has been very vital and critical issue for companies that aim to reward employees for meeting their organizational goals and identify whether or not their objectives are met, and develop necessary action plans so that they can be achieved in near future. This selection process is so essential for companies due to the fact that wrong decisions may negatively affect employees in the organization at all levels and put the company into difficult position in doing their business activities. Therefore, most companies have used different methods to successfully carry out this painful and time-consuming process. Of these methods, Analytic Hierarchy Process (AHP) has been widely used for Multiple-Criteria Decision Making (MCDM) problems in both academic researches and practices. But, in some cases, due to the vagueness and uncertainty on judgments of the decision-maker(s), the crisp pair wise comparison in the conventional AHP seems to be insufficient and imprecise to capture the right judgments of decision-maker(s). Therefore, a fuzzy logic is introduced in the pair wise comparison of AHP to make up for this deficiency in the conventional AHP, called as fuzzy AHP. Shortly, in this paper, a fuzzy AHP-based approach is proposed to evaluate a number of employees in terms of evaluation criteria to rank them by weight. In addition, a case study is included to show the applicability of the proposed approach.
Title of the Paper: Fuzzy Path Generation for Autonomous Mobile Robot Navigation
Authors: Ouarda Hachour, Nikos Mastorakis
Pages: 16-23
Abstract: In this paper we present an algorithm for fuzzy path planning to a target for mobile robot in unknown environment. The aim of this work is to develop an algorithm which allows a mobile robot to navigate through static obstacles, and finding the path in order to reach a specified target. We propose an algorithm that provides the robot a trajectory to be followed to move from the initial position to the specified target. The robot trajectory is designed in a grid-map form of a known environment with static unknown obstacles. The proposed approach can deal a wide number of environments. This system constitutes the knowledge bases of FL approach allowing recognizing the fuzzy situation of the target localization and obstacle avoidance, respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity. This approach based on intelligent computing offers to the autonomous mobile system the ability to realize these factors: recognition, learning, decision-making, and action (the principle obstacle avoidance problems). The algorithm permits the robot to move from the initial position to the desired position following an estimated fuzzy trajectory.
Title of the Paper: Intelligent Control for a Half-Car Active Suspension by Self-Tunable Fuzzy Inference System
Authors: Haifa Souilem, Sonia Mehjoub, Nabil Derbel
Pages: 9-15
Abstract: The main problem of vehicle vibration comes from road roughness. For that reason, it is necessary to control vibration of vehicle’s suspension. This paper deals with a comparison between three controllers such as classical PID controller, self-tunable fuzzy inference system (STFIS) controller and the passive system controller. The first one is used to control half-vehicle’s suspension for comparison. The originality of this paper is shown in using STFIS in order to minimize the vibrations on each corner of half-vehicle by supplying control forces to suspension system when travelling on rough road. Simulation results shows the stability for the STFIS controller despite the disturbances which is compared to others controllers.
Title of the Paper: Novel Image Clustering Based on Image Features for Robust Reversible Data Hiding
Authors: Mohamed Tahar Ben Othman
Pages: 1-8
Abstract: For better data hiding (watermarking) robustness we introduced a new clustering method based on the image features. The image is divided into clusters using the Content Addressable Method (CAM) introduced in our previous works. This is considered as the first level of image segmentation where a clustering function specifies the feature used to divide the image by allocating an Id for each group of pixels. In the second level, each cluster is divided into sub-clusters where each contains the same embedded watermark portion. This duplication is necessary to improving the robustness. To get a higher robustness, in one side, we use the clusters that have more distribution rate of pixels over the image, and in the other side, we build the sub-clusters with higher dispersal rate of pixels over the cluster. The results show that the higher dispersal rate of sub-clusters and more uniform distribution of pixels over the clusters are the better watermark robustness can be obtained.
