scholarly journals Evaluation of the Level of Prognostic Competence with Fuzzy Logic Systems

2021 ◽  
Author(s):  
Juriy Andreevich Tashkinov

The chapter deals with main components are part of the prognostic competence. The chapter discusses possibility of using intelligent systems to model the predictive competence of a civil engineer. The analysis of the study of the problem was carried out using content analysis A model of the development of prognostic competence of a civil engineer using the Matlab software package with the Fuzzy Logic Toolbox module has been developed. A step-by-step forecasting technology, as well as possible errors in creating a forecast by an expert and ways of solving them, are proposed. In conclusion the chapter says most of all the level of formation of predictive competence depends on activity component.

Author(s):  
Hiroshi Kawakami ◽  
Aki-Hiro Sato ◽  
Toshihiro Hiraoka

This issue presents papers from the 16th annual Asia Pacific Symposium on Intelligent and Evolutionary Systems held in Kyoto, Japan, on December 12-14, 2012. Kyoto is an ancient capital whose traditions have matured through the ages, featuring rich cultural and artisanal opportunities. The symposium brings together researchers from Asian Pacific Rim nations who are working in the fields of intelligent systems and evolutionary computation. Here they have a rare chance to exchange ideas, present their latest results and discuss possible collaboration. In order to encourage in-depth technical discourse, the number of participants is limited to about 40. The symposium allows ample time for discussions in addition to paper presentations. We focus on papers related to recent developments in intelligent and evolutionary systems. This issue features 11 interesting and informative papers. 1. Improvement of Eye Gesture Interface System 2. Modelling and Simulation of Road Traffic Behaviour: Artificial Drivers with Personality and Emotions 3. User-Friendly Simulator for Open Modeling by Hierarchical Management 4. On the Impact of Path Redundancy Awareness in Evolutionary P2P Networking 5. Influence of Field Structure on the Multi-Agent Coverage Algorithm on Unknown Fields 6. Understanding Geographic Attentions of Crowd from Photographing Information 7. Development of Ghost Controller for Ms Pac-Man Versus Ghost Team with Grammatical Evolution 8. Construction of Molecular Learning Network 9. Fractal-Based Analysis for the Energy Consumption Efficiency of Biological Networks 10. Designing Internal Reward of Reinforcement Learning Agents in Multi-Step Dilemma Problem 11. Cooperative Transport by a Swarm Robotic System Based on CMA-NeuroES Approach We sincerely thank all of the participants, committee members, and plenary speakers for their invaluable contributions to this symposium. Also deserving of thanks are members of the organization: Dr. Akira Namatame (National Defense Academy), Dr. Hussein A. Abbass (University of New South Wales), Dr. Shu-Heng Chen (National Chengchi University), Dr. Mitsuo Gen (Fuzzy Logic Systems Institute), Dr. Hiroshi Kawakami (Kyoto University), Dr. Aki-Hiro Sato (Kyoto University), Dr. Hidenori Kawamura (Hokkaido University), Dr. Bob McKay (Seoul National University), Dr. Kazuhiro Ohkura (Hiroshima University), and Dr. Tomohiro Shirakawa (National Defense Academy), and program committees: Dr. Dror Kenett (Tel Aviv University), Dr. Tobias Preis (Johannes Gutenberg University), Dr. Yasushi Kambayashi (Nippon Institute of Technology), Dr. Hiroshi Sato (National Defense Academy), Dr. Sachiyo Arai (Chiba University), Dr. Saori Iwanaga (Japan Coast Guard Academy), Dr. Noman Nasimul (The University of Tokyo), Dr. Hisashi Handa (Okayama University), Dr. Mengchun Xie (Wakayama National College of Technology), Dr. Masao Kubo (National Defense Academy of Japan), Dr. Keiki Takadama (The University of Electro-Communications), Dr. Eisuke Kita (Nagoya University), Dr. Hitoshi Iba (The University of Tokyo), Dr. Yusuke Nojima (Osaka Prefecture University), Dr. Zdzislaw Burda (Jagiellonian University), and Dr. Keiji Suzuki (Hokkaido University). Meetings of creative minds such as those taking part in this symposium are sure to encourage new creative minds. Symposium speakers include Dr. Sung-Bae Cho of Yonsei University, Korea, Dr. Mitsuo Gen of the Fuzzy Logic Systems Institute in Japan, and Dr. Jun Wang of the Chinese University of Hong Kong.


Author(s):  
Yang Chen ◽  
Jiaxiu Yang

In recent years, fuzzy identification based on system identification theory has become a hot academic topic. Interval type-2 fuzzy logic systems (IT2 FLSs) have become a rising technology. This paper designs a type of Nagar-Bardini (NB) structure-based singleton IT2 FLSs for fuzzy identification problems. The antecedents of primary membership functions of IT2 FLSs are chosen as Gaussian type-2 primary membership functions with uncertain standard deviations. Then, the back propagation algorithms are used to tune the parameters of IT2 FLSs according to the chain rule of derivation. Compared with the type-1 fuzzy logic systems, simulation studies show that the proposed IT2 FLSs can obtain better abilities of generalization for fuzzy identification problems.


2011 ◽  
Vol 62 (2) ◽  
pp. 147-163 ◽  
Author(s):  
Sunday Olusanya Olatunji ◽  
Ali Selamat ◽  
Abdulazeez Abdulraheem

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