International Journal of Fuzzy Systems and Advanced Applications
E-ISSN: 2313-0512
Volume 8, 2021
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 8, 2021
Title of the Paper: Automation and Fuzzy Control of a Manufacturing System
Authors: Zermane Hanane, Mouss Hayet, Benaicha Sonia
Pages: 32-37
DOI: 10.46300/91017.2021.8.4 XML
Abstract: The automation of manufacturing systems is a major obligation to the developments because of exponential industrial equipment, and programming tools, so that growth needs and customer requirements. This automation is achieved in our work through the application programming tools from Siemens, which are PCS 7 (Process Control System) for industrial process control and FuzzyControl++ for fuzzy control. An industrial application is designed, developed and implemented in the cement factory in Ain-Touta (S.CIM.AT) located in the province of Batna, East of Algeria. Especially in the cement mill which gives the final product that is the cement.
Title of the Paper: Development of an Industrial Application with Neuro-Fuzzy Systems
Authors: Benaicha Sonia, Zermane Hannane, Mouss Hayet, Bencherif Fateh
Pages: 26-31
DOI: 10.46300/91017.2021.8.3 XML
Abstract: In this paper, our objective is dedicated to the detection of a deterioration in the estimated operating time by giving preventive action before a failure, and the classification of breakdowns after failure by giving the action of the diagnosis and / or maintenance. For this reason, we propose a new Neuro-fuzzy assistance prognosis system based on pattern recognition called "NFPROG" (Neuro Fuzzy Prognosis). NFPROG is an interactive simulation software, developed within the Laboratory of Automation and Production (LAP) -University of Batna, Algeria. It is a four-layer fuzzy preceptor whose architecture is based on Elman neural networks. This system is applied to the cement manufacturing process (cooking process) to the cement manufacturing company of Ain-Touta-Batna, Algeria. And since this company has an installation and configuration S7-400 of Siemens PLC PCS7was chosen as a programming language platform for our system.
Title of the Paper: A Novel Approach to Image Enhancement Based on Fuzzy Logic
Authors: Anissa Selmani, Hassene Seddik, Moussa Mzoughi
Pages: 21-25
DOI: 10.46300/91017.2021.8.2 XML
Abstract: Image filtering, which removes or reduces noises from the contaminated images, is an important task in image processing. This paper presents a novel approach to the problem of noise reduction for gray-scale images. The proposed technique is able to remove the noise component, while adapting itself to the local noise intensity. In this way, the proposed algorithm can be considered as a modification of the median filter driven by fuzzy membership functions. Experimental results are compared to static median filter by numerical measures and visual inspection. As was expected, the new filter shows better performances.
Title of the Paper: Logarithmic Divergence Measure for Fuzzy Matrix and Application
Authors: Alka Rani, Omdutt Sharma, Priti Gupta
Pages: 1-20
DOI: 10.46300/91017.2021.8.1 XML
Abstract: This paper introduces a new divergence measure for a fuzzy matrix with proof of its validity. In addition, the properties are proved for the new fuzzy divergence measure. A method to solve decision making problem is developed by using the proposed fuzzy divergence measure. Finally, the application of this fuzzy divergence measure to decision making is shown using real-life example.
