[Legacy Report] IEEE CIS ACT Seminar
An overview of fuzzy signatures and extensions with some application examples
Abstract: In many data bases connected to real life engineering/applied science problems there is a series of (vague) features which may be grouped into subsets with components related closer to each other, even to sub-subsets within these subsets. Such structures may be represented by either a tree graph, or an iteratively nested vector (with sub-vectors as components). Such constructions are called Fuzzy Signatures (FS). A very special extension of the idea of FS is given by the Fuzzy Situational Maps (FSM) where the sub-trees represent matrices of two or more dimensions with more or less fixed spatial structure, not unlikely as in hidden maps. A possible application area of FSM will be presented, namely the fuzzy communication and collaboration of intelligent mobile robots. Then a civil engineering and architecture related problem will be briefly introduced. This will come to an open end (quasi) optimization problem, where a possibility for future collaboration will be proposed.
Bio: Laszlo T. Koczy received the Ph.D. degree from the Technical University of Budapest in 1977, and the D.Sc. (a postdoctoral degree) from the Hungarian Academy of Science in 1998. He spent his career at BME until 2001, and from 2002 at Szechenyi Istvan University (Gyor, SZE),where he was Dean of Engineering, and has been from 2013 to current President of the University Research and of the University Ph.D. Councils. An overview of fuzzy signatures and extensions with some application examples Abstract: In many data bases connected to real life engineering/applied science problems there is a series of (vague) features which may be grouped into subsets with components related closer to each other, even to sub-subsets within these subsets. Such structures may be represented by either a tree graph, or an iteratively nested vector (with sub-vectors as components). Such constructions are called Fuzzy Signatures (FS). A very special extension of the idea of FS is given by the Fuzzy Situational Maps (FSM) where the sub-trees represent matrices of two or more dimensions with more or less fixed spatial structure, not unlikely as in hidden maps. A possible application area of FSM will be presented, namely the fuzzy communication and collaboration of intelligent mobile robots. Then a civil engineering and architecture related problem will be briefly introduced. This will come to an open end (quasi) optimization problem, where a possibility for future collaboration will be proposed. Seminar Professor Laszlo T. Koczy Széchenyi István University, and Budapest University of Technology and Economics, Hungary Venue: Room 152, bldg. 15, UNSW Canberra. Time: Wednesday, 18 Nov. 2015, 11am – 12am. School of Engineering and Information Technology He has been a visiting professor in Australia (including UNSW), Japan, Korea Austria and Italy. He was an IEEE CIS AdCom member for two cycles and CIS representative on the Neural Networks Council AdCom for another two times. His research interests are fuzzy systems, evolutionary algorithms and neural networks as well as applications. He has published over 580 articles with close to 4500 Google Scholar citations. His main results are: the concept of rule interpolation in sparse fuzzy models, and hierarchical interpolative fuzzy systems, fuzzy Hough transform; fuzzy signatures fuzzy situational maps, and fuzzy signature state machines, and the node reduction algorithm in Fuzzy Cognitive Maps, among others. His research interests include applications of CI for telecommunication, transportation and logistics, vehicles and mobile robots, control, information retrieval, etc.
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- Canberra, Australian Capital Territory
- Australia