Intelligent Systems and Computing
(Sprache: Englisch)
This book includes high quality research papers submitted at the 2022 "Four Session (ICFIE, ICORG, GDORS, CGHMORS) Celebration" Joint International Conference held on December 28, 2022 and the online meeting of the Fuzzy Information and Engineering Branch...
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Klappentext zu „Intelligent Systems and Computing “
This book includes high quality research papers submitted at the 2022 "Four Session (ICFIE, ICORG, GDORS, CGHMORS) Celebration" Joint International Conference held on December 28, 2022 and the online meeting of the Fuzzy Information and Engineering Branch of the China Operations Research Society on September 17, 2022. It covers topics in the fields of certainty, stochastic uncertainty, and fuzzy uncertainty, including computer science and mathematics, operations research and control, artificial intelligence, information and engineering technology, barrier-free communication for people with disabilities, digital logistics and knowledge representation, medical applications, queuing theory and game theory, algorithms and optimization methods. The book is a valuable reference book for scholars, engineers, management professionals, and graduate, undergraduate, and vocational students interested in computer science, mathematics, and fuzzy mathematics and operations research, as well as their applications in information technology and engineering.
Inhaltsverzeichnis zu „Intelligent Systems and Computing “
Variable Universe Fuzzy Control Based on Adaptive Error Integral for Uncertain Nonlinear Systems with Time-delay.- Optimization of Ideal Reflector for Radio Telescope Based on Improved Composite Algorithm.- Linear Programming Subject to Max-product Fuzzy Relation Inequalities with Discrete Variables.- Global Optimization for the Concave-concave Multiplicative Programming with Coefficient.- Fish Swarm Algorithm Based Reflecting Surface Adjustment Strategy for Radio Telescope.- Study on Furnace Temperature Curve Based on Heat Conduction Model.- Research on Intelligent Adjustment Technology of Active Reflector of Radio Telescope.- Dynamic Credit Line Decisions for Msmes.- Research on the Ordering and Transportation of Raw Materials for Production Enterprises.- Research on Cantonese Cultural and Creative Product Design Strategy Based on Fuzzy Kano Model.- Establishment and Application of Catalyst Optimization Model Based on Genetic Algorithm.- Application and Optimization of Shape Adjustment Design Based on "Fast" Active Reflector Model.- Research and Practice of Internet+ Innovation and Entrepreneurship Ability Cultivation Model Based on Cooperative Learning.- Research on the Optimization Model of Ethanol Coupling to C4 Olefins Based on Regression Analysis.- An Empirical Study on Eco-tourism Network Integral Problem.
Autoren-Porträt
Cao Bingyuan is a professor at Guangzhou University. Doctoral (postdoctoral) supervisor; Lingnan Second Class Chair Professor at Foshan University of Science and Technology; President of the Fuzzy Information and Engineering (FIE) Branch of the China Operations Research Society, the Guangdong Provincial Operations Research Society, and the Guangdong Hong Kong Macao Operations Research Society; Chairman of the International FIE Association (soon to be established) and lifelong editor in chief of the FIE magazine at Tsinghua University. In 1987, he was the first to propose "Fuzzy Geometric Programming" and published over 190 papers (many in Top and Q1 journals). He was also the editor in chief of over 10 Springer books. Received 2 International FIE Society Achievement Awards, 3 Provincial Science and Technology Awards, 1 Springer Most Popular Textbook by Readers, and ranked 5th in the 2021 Optimization Top 100 by Elsevier SciVal.Prof. Shu-Feng Wang is Director of the Pearl River Delta Regional Logistics Research Center, Guangdong Baiyun University, Professor of Logistics Economics, and Master Supervisor. His main research interests include transportation economics, logistics economics, digital economics, and international trade. In the past five years, he has focused on the evolution and system integration of digital logistics theory, the efficiency of regional logistics resource allocation, the systematic reconstruction of the industrial value chain in the Guangdong-Hong Kong-Macao Greater Bay Area, the generation mechanism of systematic enterprise operation capability and its cultivation research.
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He has presided over and completed more than 20 scientific research projects including provincial and ministerial projects and published 5 academic works and teaching materials such as "Regional Logistics Theory and Empirical Research," "Transportation Management," "Logistics System Planning and Design Theory and Method," and more than 50 academic papers.
Seyed Hadi Nasseri received the PhD degree on "fuzzy mathematical programming" from Sharif University of Technology (SUT), Iran, in 2007. Since 2007, he has been a faculty member at the Faculty of Mathematical Sciences, University of Mazandaran, Iran. During this program, he got JASSO Research Scholarship from the Department of Industrial Engineering and Management, Tokyo Institute and Technology (TIT), Tokyo, Japan during 2006-2007. Recently, in 2018, he completed a postdoctoral program at the Department of Industrial Engineering, Sultan Qaboos University, Oman, on logistic under uncertainty conditions. Also, he has been a visiting professor with the Department of Mathematics and Big Data, Foshan University, China, since 2018. He has been the council member of the International Association of Fuzzy Information and Engineering, a standing director of the International Association of Grey Systems and Uncertainty Analysis since 2016, and the president of Iranian Operations Research Society. He also stablished the International Center of Optimization and Decision Making in 2014 and the Research Center of Optimization and Logistics, University of Mazandaran, Babolsar, Iran in 2021. His research interests include the areas of fuzzy mathematical models and methods, fuzzy arithmetic, fuzzy optimization and decision making, operations research, gray systems, and logistics and transportation.
Prof. Yu-Bin Zhong received his bachelor's degree and master's degree from Beijing Normal University and currently works as Professor at the School of Mathematics and Information Science, Guangzhou University, China. His main research direction is fuzzy system and artificial intelligence, operations research and control, systems engineering and intelligent algorithm, hyperalgebraic structure, and mathematical theory of knowledge representation. He has published more than 30 papers in core journal
He has presided over and completed more than 20 scientific research projects including provincial and ministerial projects and published 5 academic works and teaching materials such as "Regional Logistics Theory and Empirical Research," "Transportation Management," "Logistics System Planning and Design Theory and Method," and more than 50 academic papers.
Seyed Hadi Nasseri received the PhD degree on "fuzzy mathematical programming" from Sharif University of Technology (SUT), Iran, in 2007. Since 2007, he has been a faculty member at the Faculty of Mathematical Sciences, University of Mazandaran, Iran. During this program, he got JASSO Research Scholarship from the Department of Industrial Engineering and Management, Tokyo Institute and Technology (TIT), Tokyo, Japan during 2006-2007. Recently, in 2018, he completed a postdoctoral program at the Department of Industrial Engineering, Sultan Qaboos University, Oman, on logistic under uncertainty conditions. Also, he has been a visiting professor with the Department of Mathematics and Big Data, Foshan University, China, since 2018. He has been the council member of the International Association of Fuzzy Information and Engineering, a standing director of the International Association of Grey Systems and Uncertainty Analysis since 2016, and the president of Iranian Operations Research Society. He also stablished the International Center of Optimization and Decision Making in 2014 and the Research Center of Optimization and Logistics, University of Mazandaran, Babolsar, Iran in 2021. His research interests include the areas of fuzzy mathematical models and methods, fuzzy arithmetic, fuzzy optimization and decision making, operations research, gray systems, and logistics and transportation.
Prof. Yu-Bin Zhong received his bachelor's degree and master's degree from Beijing Normal University and currently works as Professor at the School of Mathematics and Information Science, Guangzhou University, China. His main research direction is fuzzy system and artificial intelligence, operations research and control, systems engineering and intelligent algorithm, hyperalgebraic structure, and mathematical theory of knowledge representation. He has published more than 30 papers in core journal
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Bibliographische Angaben
- 2024, 2024, XX, 436 Seiten, 91 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Bing-yuan Cao, Shu-Feng Wang, Hadi Nasseri, Yu-Bin Zhong
- Verlag: Springer, Berlin
- ISBN-10: 9819728908
- ISBN-13: 9789819728909
Sprache:
Englisch
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