International Journal of Fuzzy Systems and Advanced Applications

ISSN: 2313-0512
Volume 6, 2019

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 6, 2019

Title of the Paper: Inventory Classification using Fuzzy Approach and Performance Validaiton using Learning based Methods


Authors: Mahuya Deb, Prabjot Kaur, Kandarpa Kumar Sarma, Nikos Mastorakis

Pages: 41-47

Abstract: Inventory Analysis and Control has become inevitable for a manufacturing industry. Among the various items of inventory not all are of equal importance and therefore decisions as to when and how many to buy or make can be taken by classifying the inventory items based on values. For this evaluation, ABC inventory classification which is one of the most commonly used approaches is considered. The data is taken from the manufacturing sector of Usha Martin Ltd, a leading manufacturer of wire strands located in Jharkhand. Through this paper an attempt is made to use fuzzy membership degrees in segregating the inventory into various classes based on the valuation of the items. Further, an adaptive neuro fuzzy inference system (ANFIS) based approach is adopted to automate the process of inventory classification. The results are compared with that obtained from Multi Layer Perceptron (MLP) and Time Delay Neural Network (TDNN) which are standard leaning based methods. The ANFIS based approach is found to be reliable over data set considered for the work. This would therefore provide useful insights to the company for proper maintenance of their inventory stock based on the importance of the items.

Title of the Paper: Characterizations of Fuzzy W-Compactness and Fuzzy W-Closed Spaces in Fuzzy Topological Spaces


Authors: Raja Mohammad Latif

Pages: 36-40

Abstract: The concepts of W-compactness and W- closed spaces in the fuzzy setting are defined and investigated. Fuzzy filter bases are used to characterize these concepts

Title of the Paper: Evaluations of Interns’ Performances after Intervention Program using Hierarchical Fuzzy Conjoint Analysis Model


Authors: Nora Zakaria

Pages: 30-35

Abstract: The intervention program is a special program that was carried out prior to the students embarked their internship program. At the end of their internship, the questionnaires were given to their respective companies' employers to rate the interns’ performance. The evaluation of the performance is based on seven attributes and twenty nine sub-attributes. Likert scales are employed in extracting the level of satisfactions (ratings) of the respective employers’ towards the interns. As human preferences are rather fuzzy and uncertain in nature, the fuzzy set based analysis model is seen as an appropriate model to be used in handling and investigating human preferences. Thus, for this purpose, a hierarchical fuzzy conjoint analysis model is proposed and employed in analyzing the employers’ preference levels on the interns’ performance with respect to the employability attributes. The findings show that the employers were “satisfied‟ with the interns’ performance with a degree of satisfaction 0.804.

Title of the Paper: Advances in Prediction of the Mechanical Properties of Self-compacting Concrete by Adaptive Neurofuzzy Systems


Authors: Behnam Vakhshouri, Shami Nejadi

Pages: 18-29

Abstract: Many studies predict the compressive strength of conventional concrete from hardened characteristics; however, in the case of self-compacting concrete, these investigations are very rare. There is no study to predict the compressive strength of self-compacting concrete from mixture proportions and slump flow. This paper designs ANFIS models to establish relationship between the compressive strength as output, and slump flow and mixture proportions as input in eighteen combinations of input parameters. The applied dada is taken from 55 previously conducted experimental studies. Effect of each parameter on the compressive strength and its importance level in the developed model has been investigated. Based on the error size in each combination analysis, weighting factor and importance level of each parameter is evaluated to apply the correction of factors to get the most optimized relationship. Obtained results indicate that the model including all input data (slump flow and mixture proportions) gives the best prediction of the compressive strength. Excluding the slump flow from combinations affects the prediction of compressive strength, considerably. However it’s not as much as the effect of the maximum aggregate size and aggregate volume in the mixture design. In addition, different values of powder volume, aggregate volume and paste content in the mixture reveal different ascending and descending effects on the compressive strength.

Title of the Paper: Proposed Fuzzy Logic Controller for Buck DC-DC Converter


Authors: M. Bensaada, M. Bekhti, S. Della Krachai, F. Metehri, M. Beldjehem

Pages: 13-17

Abstract: This paper provides the design for buck DC-DC converter system using fuzzy logic as well as sliding mode method. Design of fuzzy logic controller will be based on improvement of imperfection of the sliding mode controller, in particular the robustness and response time of the system. The simulation results of both systems using fuzzy logic and sliding mode are shown as well as compared to signify better of the two.

Title of the Paper: Fuzzy Relation Equations on the Van Hiele Levels of Geometric Reasoning


Authors: Michael Gr. Voskoglou

Pages: 8-12

Abstract: Fuzzy Relation Equations, which are associated with the composition of binary fuzzy relations, is a dynamic tool of fuzzy mathematics that has been used by many researchers in several real word applications. In the paper at hands Fuzzy Relation Equations are applied on the Van-Hiele levels of geometric reasoning to study the student progress on learning Euclidean Geometry and examples are presented illustrating this application. The Van-Hiele theory suggests that students can progress in Geometry through five states of increasing structural complexity.

Title of the Paper: Fuzzy and Grey Assessment Methods


Authors: Michael Gr. Voskoglou

Pages: 1-7

Abstract: In this work two innovative methods are developed for evaluating a system’s mean performance by linguistic expressions, which utilize Triangular Fuzzy Numbers and Grey Numbers respectively. Examples are also presented on student, athlete and CBR systems’ evaluation to illustrate their applicability to real life problems. The outcomes of those methods are compared to the corresponding outcomes of the traditional assessment methods of calculating the mean value of scores and the GPA index respectively. Although it is finally shown that the two methods provide the same assessment outcomes, it turns out that the use of the Grey Numbers reduces significantly the required computational burden.