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            <front>

                <journal-meta>
                                                                <journal-id>yade</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Yalvaç Akademi Dergisi</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2548-0820</issn>
                                                                                            <publisher>
                    <publisher-name>Isparta Uygulamalı Bilimler Üniversitesi</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.57120/yalvac.1644658</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Electrical Engineering (Other)</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Elektrik Mühendisliği (Diğer)</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <trans-title-group xml:lang="tr">
                                    <trans-title>ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION</trans-title>
                                </trans-title-group>
                                                                                                                                                                                                <article-title>ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-9683-344X</contrib-id>
                                                                <name>
                                    <surname>İnan</surname>
                                    <given-names>Onur</given-names>
                                </name>
                                                                    <aff>BURDUR MEHMET AKİF ERSOY UNIVERSITY</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-9265-7293</contrib-id>
                                                                <name>
                                    <surname>Akyüz</surname>
                                    <given-names>Ali Özhan</given-names>
                                </name>
                                                                    <aff>BURDUR MEHMET AKİF ERSOY UNIVERSITY</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20250327">
                    <day>03</day>
                    <month>27</month>
                    <year>2025</year>
                </pub-date>
                                        <volume>10</volume>
                                        <issue>1</issue>
                                        <fpage>40</fpage>
                                        <lpage>51</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20250221">
                        <day>02</day>
                        <month>21</month>
                        <year>2025</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20250304">
                        <day>03</day>
                        <month>04</month>
                        <year>2025</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2016, Yalvaç Akademi Dergisi</copyright-statement>
                    <copyright-year>2016</copyright-year>
                    <copyright-holder>Yalvaç Akademi Dergisi</copyright-holder>
                </permissions>
            
                                                                                                <trans-abstract xml:lang="tr">
                            <p>Fuzzy Logic Models are practical solutions to reach a definite conclusion in data sets with uncertain, complicated, and incomplete input data.  Owing to these models, achieving the desired outputs with very low error in large data sets obtained theoretically or experimentally is possible. In this study, a subtractive clustering based fuzzy model approach has been presented to analyze the ultrasonic polymer degradation. Fuzzy models include obtaining cluster centers from the data set, preparing a fuzzy rule-based linear equation system, and optimizing parameters for the least error. The designed fuzzy models have high accuracy and clearly express ultrasonic degradation behavior.</p></trans-abstract>
                                                                                                                                    <abstract><p>Fuzzy Logic Models are practical solutions to reach a definite conclusion in data sets with uncertain, complicated, and incomplete input data.  Owing to these models, achieving the desired outputs with very low error in large data sets obtained theoretically or experimentally is possible. In this study, a subtractive clustering based fuzzy model approach has been presented to analyze the ultrasonic polymer degradation. Fuzzy models include obtaining cluster centers from the data set, preparing a fuzzy rule-based linear equation system, and optimizing parameters for the least error. The designed fuzzy models have high accuracy and clearly express ultrasonic degradation behavior</p></abstract>
                                                            
            
                                                                                        <kwd-group>
                                                    <kwd>Ultrasound</kwd>
                                                    <kwd>  Polymer Degradation</kwd>
                                                    <kwd>  Subtractive Fuzzy Clustering</kwd>
                                                    <kwd>  Fuzzy Inference System</kwd>
                                                    <kwd>  Fuzzy Modeling.</kwd>
                                            </kwd-group>
                            
                                                <kwd-group xml:lang="tr">
                                                    <kwd>Ultrasound</kwd>
                                                    <kwd>  Polymer Degradation</kwd>
                                                    <kwd>  Subtractive Fuzzy Clustering</kwd>
                                                    <kwd>  Fuzzy Inference System</kwd>
                                                    <kwd>  Fuzzy Modeling.</kwd>
                                            </kwd-group>
                                                                                                                                        </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">1. Mason T.J. (1996). Sonochemistry: Uses of Ultrasound in Chemistry and Related Disciplines, Ultrasound Angioplasty, 178, 25-54.</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">2. Villamiel, M., Cortés-Avendaño, P., Ferreira-Lazarte, A., &amp; Condezo-Hoyos, L. (2025). Chemistry of ultrasound processing. In Chemistry of Thermal and Non-Thermal Food Processing Technologies, Academic Press, 175-199.</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">3. Akyüz, A., Giz, A., &amp; Catalgil-Giz, H. (2018). Ultrasonic Chain Scission of Polyacrylamide in Solution: Online Monitoring Results and Comparison with Theoretical Models. Journal of Macromolecular Science, Part B, 57(7), 527-540.</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">4. Siddique, M., Rashid, R., &amp; Ali, A. (2025). Fundamentals of acoustic cavitation, ultrasound-assisted processes, and sonochemistry. In Modeling and Simulation of Sono-Processes, Elsevier, 3-17. https://doi.org/10.1016/B978-0-443-23651-8.00001-2</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">5. Akyüz, A., Kamer, O., &amp; Giz, A. (2013). Online viscometric monitoring of ultrasonic sodium poly (styrene sulfonate) scission. Journal of Macromolecular Science, Part A, 50(5), 535-540.</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">6. Kerboua, K. (2025). Sonochemistry and acoustic cavitation bubble: modeling and simulation. In Modeling and Simulation of Sono-Processes, Elsevier, 185-200. https://doi.org/10.1016/B978-0-443-23651-8.00012-7</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">7. Gungor, A., Akyuz, A. O., Şirin, C., Tuncer, A. D., Zaman, M., &amp; Gungor, C. (2019). Importance of mathematical modeling in innovation. Mathematical Modeling, 3(1), 32-34.</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">8. Akyüz, A. (2024). Effect of Temperature on Ultrasonic Degradation of Sodium Poly (Styrene Sulfonate): 
Analysis of Online Viscometric Data with Theoretical Models and Machine Learning Approaches. Journal of Macromolecular Science, Part B, 63(12), 1379-1403.</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">9. Bezdek, J.C., Ehrlich, R., Full, W. (1984) FCM: The Fuzzy c-means Clustering Algorithm.
Computers and Geosciences. 10 (2-3), 191–203.</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">10. Demirli K., Cheng S.X. and Muthukumaran P. (2003) Subtractive clustering based on modelling of job sequencing with parametric search. Fuzzy Sets and Systems. 137 (2), 235–270.</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">11. Setnes, M., Babuska, R., Verbruggen, H.B. (1998) Transparent Fuzzy Modelling. International Journal of Human-Computer Studies. 49 (2), 159–179.</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">12. Takagi T., Sugeno M. (1985) Fuzzy identification of systems and its application to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, 15 (1), 116–132.</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">13. Miraftab V., Mansour R.R. (2006) EM-based microwave circuit design using fuzzy logic techniques. IEE Proceedings - Microwaves Antennas and Propagation, 153 (6), 495–501.</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">14. Mamdani E.H. (1974) Applications of Fuzzy Algorithms for Simple Dynamic Plant. IEE Proceedings – Control &amp; 
Science, 121 (12), 1585–1588.</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">15. Piegat A. (2001) Fuzzy Modeling and Control. Springer Science &amp; Business Media.</mixed-citation>
                    </ref>
                                    <ref id="ref16">
                        <label>16</label>
                        <mixed-citation publication-type="journal">16. Sugeno, M., Tanaka, K. (1991) Successive identification of a fuzzy model and its applications to prediction of a complex system. Fuzzy Sets and Systems, 42 (3), 315–334.</mixed-citation>
                    </ref>
                                    <ref id="ref17">
                        <label>17</label>
                        <mixed-citation publication-type="journal">17. Miraftab V., Mansour R.R. (2004) A Robust Fuzzy-Logic Technique for Computer-Aided Diagnosis of Microwave Filters. IEEE Transactions on Microwave Theory and Techniques, 52 (1), 450–456.</mixed-citation>
                    </ref>
                                    <ref id="ref18">
                        <label>18</label>
                        <mixed-citation publication-type="journal">18. Yager R.R., Filev D.P. (1994) Approximate Clustering Via the Mountain Method. IEEE Transactions on Systems, Man, and Cybernetics, 24(8), 1279-1284.</mixed-citation>
                    </ref>
                                    <ref id="ref19">
                        <label>19</label>
                        <mixed-citation publication-type="journal">19. Chiu S.L. (1994) Fuzzy model identification based on cluster estimation. Journal of Intelligent &amp; Fuzzy Systems, 2(3), 267-278.</mixed-citation>
                    </ref>
                                    <ref id="ref20">
                        <label>20</label>
                        <mixed-citation publication-type="journal">20. Sugeno M., Tanaka K. (1991) Successive identification of a fuzzy model and its applications to prediction of a complex system. Fuzzy Sets and Systems, 42(3), 315-334.</mixed-citation>
                    </ref>
                                    <ref id="ref21">
                        <label>21</label>
                        <mixed-citation publication-type="journal">21. Akyüz, A., Giz, A., &amp; Catalgil-Giz, H. (2018). Ultrasonic Chain Scission of Polyacrylamide in Solution: Online 
Monitoring Results and Comparison with Theoretical Models. Journal of Macromolecular Science, Part B, 57(7), 
527-540.</mixed-citation>
                    </ref>
                                    <ref id="ref22">
                        <label>22</label>
                        <mixed-citation publication-type="journal">22. Akyüz, A. (2017). Polietilen Oksitin Ultrasonik Zincir Kırılması: Konsantrasyon ve Sıcaklık Etkisi. Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, 17(1), 109-116.</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
