About Professor Lei Li

Professor Lei Li was born in Yancheng, Jiangsu, China on May 1, 1961. He received his Doctor Degree of Science from Xian Jiaotong University, China in 1989, and Doctor Degree of Engineering from Tohoku University, Japan in 1994 separately. He studied at Hirosaki University, Japan as a Post Doctoral and Research Assistant from April, 1989 to March 1992.

From April 1992 up to present, he has been on the Faculty of Computer Science and Engineering [1992-1997: Associate Professor, Aomori University, Japan, 1997-2001: Associate Professor, Yamaguchi University, Japan, 1999-2000: Visiting Professor, State University of New York at Stony Brook, 2002-present, Professor, Hosei University, Japan]. His research interest includes the Fast Algorithms, Parallel Algorithms, Genetic Algorithms, Neural Networks, Machine Learning Algorithms etc.

He has published around 220 papers in refereed journals, conference proceedings and book chapters in these areas. He has been involved in more than 30 conferences and workshops as a program/general/organizing chair. He is serving as the president of International Information Institute and the president of Chinese Academy of Science and Engineering in Japan. In addition, he is the Editor-in-Chief of Information, An International Interdisciplinary Journal and as an Associate Editor for some other International Journals. He has been acting as an author/co-author or an editor/co-editor of 12 books. He served as Dean of Graduate School of Engineering, Hosei University, Japan, from 2008 to 2009.

Structure and Model of Algorithms

Design and analysis of algorithms depend on progress and development of computer architecture, and also depend on change of way of thinking. From the fast algorithms to parallel algorithms, from genetic algorithms to machine learning, from evolution computing to soft computing, design method and evaluation standard of algorithms are appearing various directions. What is the algorithm? Does it exist an identical algorithm model to explain all algorithm architectures? Does it exist an identical evaluation standard to evaluate the computational complexity of different algorithm architecture? In this speech, we would discuss architecture and characteristic of every kind of algorithm to provide some materials for finding this identical algorithm model.

About Professor I. Burhan Turksenn

I.B. Turksen received the B.S. and M.S. degrees in Industrial Engineering and the Ph.D. degree in Systems Management and Operations Research all from the University of Pittsburgh, PA. He joined the Faculty of Applied Science and Engineering at the University of Toronto and became Full Professor in 1983.

In 1984-1985 academic year, he was a Visiting Professor at the Middle East Technical University and Osaka Prefecture University. Since 1987, he has been Director of the Knowledge / Intelligence Systems Laboratory. During the 1991-1992 academic year, he was a Visiting Research Professor at LIFE, Laboratory for International Fuzzy Engineering, and the Chair of Fuzzy Theory at Tokyo Institute of Technology. During 1996 academic year, he was Visiting Research Professor at the University of South Florida,USA, and Bilkent University, Ankara, Turkey. Since December 2005, he is appointed as the Head of Department of Industrial Engineering at TOBB Economics and Technology University.

Currently, he is the President, CEO and CSO, of IIC, Information Intelligence Corporation. He received the outstanding paper award from NAFIPS in 1986, "L.A. Zadeh Best Paper Award" from Fuzzy Theory and Technology in 1995, "Science Award" from Middle East Technical University, and an "Honorary Doctorate" from Sakarya University, Turkey and Azerbaycan Devlet Economics University. He is a Foreign Member, Academy of Modern Sciences. His current research interests centre on the foundations of fuzzy sets and logics, measurement of membership functions with experts, extraction of membership functions with fuzzy clustering and fuzzy system modeling. His contributions include, in particular, Type 2 fuzzy knowledge representation and reasoning, fuzzy truth tables, fuzzy normal forms, T-formalism which is a modified and restricted Dempster's multi-valued mapping, and system modeling applications for intelligent manufacturing and processes, as well as for management decision support and intelligent control. He has published near 300 papers in scientific journals and conference proceedings.

DEVELOPMENTS IN FUZZY SYSTEM MODELS: Fuzzy Rulebases to Fuzzy Functions

In this speech, we first discuss the development of Fuzzy System Models from "Fuzzy Rule bases" proposed by Zadeh (1965, 1975) and applied by Mamdani, et al. (1981) to "Fuzzy Functions" proposed by Turksen (2007-2008) and further developed by Celikyilmaz and Turksen (2007-2009) in a variety of versions. Next, we also discuss a comlementary development of "Fuzzy C-Regression Model", (FCRM) proposed by Hathaway and Bezdek, (1993) as well as a Combined FCM, and FCRM algorithms proposed by Hoppner and Klawonn (2003). An experimental assessment of various models discussed in this writing.