Applications of Fuzzy System Theory to Telecommunications

1999 ◽  
pp. 559-575
Author(s):  
Giridhar D. Mandyam ◽  
M.D. Srinath
Keyword(s):  
Author(s):  
Lin Wang ◽  
Weifeng Deng ◽  
Haijin Pan ◽  
Xue Deng

In view of the defects of existing evaluation index systems (EIS) for the teaching quality of public PE such as it’s difficult for them to process fuzzy and uncertain information, this paper analyzed factors that can affect the teaching of public PE and extracted the key evaluation indices; then, it proposed a set of improved EISs for the teaching quality of public PE and constructed an evaluation model based on fuzzy system theory. Moreover, this paper put forward a few countermeasures for the improvement of public PE teaching quality, in the hopes of providing a good support for the said matter.


Author(s):  
Tetsuhisa Oda ◽  

Research in fuzzy system theory and its application has progressed rapidly in Japan since the first Fuzzy System Symposium (FSS) in 1985. This national meeting has been held annually for reading research papers by fuzzy system theory researchers. The Japan Society for fuzzy system theory and Systems (SOFT), set up in 1989, was made the SOFT's official annual meeting. The 18th FSS (FSS 2002), held at the Nagoya Institute of Technology, Nagoya, Japan, from August 28 to 30, attracted over 320 participants and was the site of 197 lectures. At this FSS,Kaoru Hirota, President of the Society, declared, "It is necessary for researchers in fuzzy system theory in Japan to present results of their study in English for readers overseas. I am happy to announce that our society is to publish a journal of collected papers in English 3 times a year, in addition to the society journal in Japanese, entitled the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII).' " The initial result is this special February 2002 issue, which contains papers from preparatory papers read at FSS2002. Editing of this special issue was entrusted to the executive committee of FS2002, with the symposium chair acting as the guest editor. Other members of the editing committee are Hitoshi Yano, Nagoya City University; Moritoshi Sasaki, Aichi University of Education; Yahachiro Tsukamoto, Meijo University; Takeshi Furuhashi, Mie University; Yasuhisa Hasegawa, Nagoya University; Miho Ohsaki, Shizuoka University; Hiroto Mizunuma, Meijyo University; Tomohiro Yoshikawa, Mie University; and Tsuyoshi Nakamura, Nagoya Institute of Technology. We thank the committee members and referees for paper selection , and Kumiko Satoh of Fuji Technology Press Ltd. for clerical work associated with the preparation of the journal. Most papers have been rewritten by the authors for this publication. Two are written in English and 7 in Japanese and translated into English after selection. At least 2 referees read each paper to select the final 9. Subjects include fuzzy data base, learning, fuzzy clustering, application for marketing, industrial application, psychological application, and fuzzy logic. All research is original and represents the current level and trends in fuzzy system theory research in Japan. Unfortunately, circumstances forced us to select papers from among 4-page preparatory papers despite the possibilities in 2-page papers. If, however, the FSS special issues of JACIII every year, up-to-date papers prepared by Japanese researchers will be available for review by overseas readers with a possible significant contribution to the research of fuzzy system theory worldwide. This will be a good opportunity for Japanese researchers to make their results known overseas, making participation in FSS even more meaningful. In January 2003, the official name of SOFT was changed to the Japan Society for fuzzy system theory and Intelligent Informatics. We sincerely hope that JACIII will become a useful tool for presenting the latest fuzzy system theory research in Japan to the world, and, in turn, support indirectly the society's development.


2017 ◽  
Vol 14 (1) ◽  
pp. 46-50 ◽  
Author(s):  
Zhengyuan Liu

As a major index for improving English teaching ability in colleges and universities, English class-room teaching level serves as an important guarantee for enrolling excellent would-be students, and plays a crucial role in enhancing the competitiveness of English major. For this reason, this paper studies the evaluation of English classroom teaching level in colleges and universities. An evaluation index system is established by analyzing the selecting principles for evaluation indexes of English classroom teaching level. Furthermore, such evaluation is graded, and the fuzzy membership of an evaluation object concerning various indexes in different grades is worked out. Then, AHP method is employed to obtain the corresponding weight of evaluation indexes, so as to establish a multi-index measurement model of English classroom teaching level in colleges and universities based on fuzzy system theory. The result of case study demonstrates that the presented model is feasible.


2013 ◽  
Vol 380-384 ◽  
pp. 417-420
Author(s):  
Yu Chi Zhao ◽  
Jing Liu

The current theory of nonlinear systems is still not perfect. The modeling and control of nonlinear system problem has always been the difficulty. In a variety of methods of its study, fuzzy system theory because of having the language descriptive way similar to the human mind, can obtain and deal with the qualitative information intelligently. The theory itself also has non-linear characteristics. Therefore the use of fuzzy systems theory to establish the fuzzy model of nonlinear system can well describe the nonlinear characteristics. T-S fuzzy systems, due to the combination of the good performance of the fuzzy system to deal with nonlinear problems with the simple linear expressions, are not only suitable for modeling the nonlinear system, but also use T-S fuzzy model and the linear control theory method to design the controller. So it has been widely used in nonlinear system control problems, and has also greatly developed the T-S fuzzy system theory, appearing a lot of methods of structural and parameter identification. However, this study of T-S fuzzy rules makes us have to face the difference of different ways to select the number of rules as well as online self-adaptability of the number of rules which off-line method lacks when using T-S fuzzy model to deal with nonlinear system modeling and control problem. In view of this, this paper researches on modeling and controlling of complex nonlinear systems based on TS model from different perspectives.


2015 ◽  
Author(s):  
A. Y. N. Yusmye ◽  
B. Y. Goh ◽  
N. F. Adnan ◽  
A. K. Ariffin
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document