![\"Prof.](\"https:\/\/us.edu.pl\/wydzial\/wnst\/wp-content\/uploads\/sites\/18\/Nieprzypisane\/bj-300x213.jpg\")
<\/a>Serdecznie\u00a0 zapraszamy wszystkich student\u00f3w studi\u00f3w stacjonarnych naszego wydzia\u0142u na wyk\u0142ady online<\/strong>, kt\u00f3re w dniach 25 listopada – 16 grudnia 2020 r.<\/strong>\u00a0 poprowadzi Prof. Balasubramaniam Jayaram<\/strong>.<\/p>\n Tematem wyk\u0142ad\u00f3w b\u0119dzie: FUZZY SET THEORY IN REASONING AND INFERENCE<\/strong><\/p>\n Wyk\u0142ady odb\u0119d\u0105 si\u0119 w ramach projektu JEDEN UNIWERSYTET – WIELE MO\u017bLIWO\u015aCI. Program Zintegrowany (POWER II)<\/p>\n Prof. Micha\u0142 Baczy\u0144ski wsp\u00f3\u0142pracuj\u0105cy z wyk\u0142adowc\u0105 w nast\u0119puj\u0105cy spos\u00f3b przedstawia jego sylwetk\u0119:<\/p>\n Prof. Balasubramaniam Jayaram received the MSc and PhD degrees in mathematics from the Sri Sathya Sai Institute of Higher Learning, India, in 1999 and 2004, respectively. He has been a visiting researcher with universities in Germany, Austria, Slovakia, and Czech Republic.<\/em> WA\u017bNE!\u00a0 Osoby zainteresowane udzia\u0142em w wyk\u0142adach obowi\u0105zuje PRZES\u0141ANIE DOKUMENT\u00d3W APLIKACYJNYCH.<\/strong><\/p>\n Dokumenty, kt\u00f3re nale\u017cy wype\u0142ni\u0107 mo\u017cna pobra\u0107 ze strony internetowej: link do dokument\u00f3w<\/a> Wyk\u0142ady online b\u0119d\u0105 si\u0119 odbywa\u0107 w \u015brody i soboty z u\u017cyciem platformy MS Teams wed\u0142ug okre\u015blonego poni\u017cej harmonogramu:<\/strong><\/p>\n \u015broda, 25.11, godz. 15:15-16:45 sobota, 28.11, godz. 12:00 – 13:30 \u015broda, 2.12, godz. 15:15-16:45 sobota, 5.12, godz. 12:00 – 13:30 \u015broda, 9.12, godz. 15:15-16:45 sobota, 12.12, godz. 12:00 – 14:30 \u015broda, 16.12, godz. 15:15-16:45 [vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row] […]<\/p>\n
\nHe is currently a professor in the Department of Mathematics, Indian Institute of Technology Hyderabad, India (https:\/\/math.iith.ac.in\/<\/a>). His current research interests include fuzzy aggregation operations, approximate reasoning, and issues in high dimensional data analysis.<\/em>
\nHe has co-authored a research monograph on fuzzy implications (with Prof. Michal Baczynski, University of Silesia in Katowice, Poland) and is the author or co-author of more than 60 published papers.<\/em>
\nHe is an experienced research fellow of the Alexander von Humboldt Foundation (Germany). He is an associate editor of the IEEE Transactions on Fuzzy Systems (2014-) and Fuzzy Sets and Systems (2016-). He is a member of the EUSFLAT, the IEEE, and the IEEE Computational Intelligence Societies.<\/em><\/p>\n<\/div>\r\n <\/div>\r\n <\/div>\r\n
\nProsimy przes\u0142a\u0107 skany, b\u0105d\u017a zdj\u0119cia wszystkich wype\u0142nionych dokument\u00f3w na adres:\u00a0 juwm.zintegrowane@us.edu.pl<\/a>\u00a0 (koniecznie z kopi\u0105 do dr\u00a0Gra\u017cyny \u0141ydzi\u0144skiej – koordynatora projektu na kierunku Matematyka: grazyna.lydzinska@us.edu.pl<\/a>) w terminie do niedzieli 22 listopada br.<\/strong>
\nW tytule wiadomo\u015bci prosimy wpisa\u0107: „Wyk\u0142adowca z zagranicy – FUZZY SET THEORY IN REASONING AND INFERENCE”
\nZe wzgl\u0119du na bie\u017c\u0105c\u0105 sytuacj\u0119, prosimy w Za\u0142\u0105czniku 1b miejsce na podpis i piecz\u0119\u0107 pracownika dziekanatu pozostawi\u0107 puste.
\nW za\u0142\u0105czniku 5b prosimy umie\u015bci\u0107 znak X<\/strong> tylko w wierszu: Zaj\u0119cia prowadzone przez wyk\u0142adowc\u00f3w zagranicznych<\/em>, a w kolumnie: SZCZEG\u00d3\u0141OWA NAZWA WYBRANEGO WSPARCIA – wpisa\u0107: FUZZY SET THEORY IN REASONING AND INFERENCE
\nPo sprawdzeniu i zatwierdzeniu Pa\u0144stwa dokument\u00f3w, b\u0119dziemy prosili r\u00f3wnie\u017c o dostarczenie orygina\u0142\u00f3w dokument\u00f3w do biura projektu (np. tradycyjn\u0105 poczt\u0105).<\/p>\n<\/div>\r\n <\/div>\r\n <\/div>[\/vc_column][\/vc_row][vc_row][vc_column]\r\n
\nLectures 1 & 2:<\/strong>\u00a0 Introduction to Fuzzy Sets
\n– Classical Sets: Belongingness vs Well-denedness.
\n– Need for Fuzzy Sets.
\n– Fuzzy Sets: Representation, Examples and some basic properties.
\n– Types of Uncertainty: Fuzziness vs Probability.<\/p>\n
\nLectures 3 & 4:<\/strong>\u00a0 Operations on Fuzzy Sets
\n– Functions on truth value sets..
\n– Properties of truth-functional evaluations.
\n– Algebra of fuzzy sets.<\/p>\n
\nLectures 5 & 6:<\/strong>\u00a0 Fuzzy Relational Inference
\n– Fuzzy Relations and Composition.
\n– Compositional Rule of Inference (CRI).
\n– Fuzzy Relational Equations.
\n– Need for a structure on the set of truth values.<\/p>\n
\nLecture 7 & Exercise 1:\u00a0<\/strong> Fuzzy Inference Systems (FIS)
\n– Mamdani and TSK Fuzzy Systems.
\n– FIS as function approximators.
\n– Hands On Session:<\/em> Implementation of FIS for simple functions (Will use either Open Source or Free-to-download Fuzzy Logic Toolboxes.)<\/p>\n
\nLectures 8 & 9:<\/strong>\u00a0 Properties and Issues in FIS and FRI
\n– Computational and Storage Complexities.
\n– Functional Equations involving Fuzzy Logic Operations.
\n– Solvability of Fuzzy Relational Equations.<\/p>\n
\nExercise 2:<\/strong>\u00a0 Theoretical explorations based on Lectures 8 & 9.
\nLecture 10:<\/strong>\u00a0 Further extensions of Classical Fuzzy Sets
\n–\u00a0 Intuitionistic, Interval-valued.
\n–\u00a0 L<\/em>-Fuzzy Sets
\n1 hour of consultation<\/strong><\/p>\n
\n2 hours of consultation<\/strong>
\n
\nConsultations:<\/strong> These sessions will be
\n– scheduled based on mutual convenience.
\n– employed for
\n(1) Revisiting some concepts dealt with in the lectures
\n(2) Give a peak on further related concepts, based on the students’ interests.<\/p>\n<\/div>\r\n <\/div>\r\n <\/div>[\/vc_column][\/vc_row]<\/p>","protected":false},"excerpt":{"rendered":"