Conference Description:

The 3rd Int'l Conference on Operations Research and Fuzziology (ORF 2019)

Conference Date: July 19-21, 2019
Conference Venue: Guilin, China
Website: http://www.confjuly.org/conference/ORF20 19/
Online Registration System: http://www.confjuly.org/RegistrationSubm ission/default.aspx?ConferenceID=1133

If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap.

Publication and Presentation

Publication: Open access journal related to Applied Mathematics and Physics
Index: CNKI and Google Scholar
Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System.

Contact Us

Email: [email protected]
Tel: +86 132 6470 2250
QQ: 3025797047
WeChat: 3025797047
Conference Topics

Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest:

Operations Research
Linear and Non-linear Programming
Integer Programming
Combinatorial and Discrete Optimization
Multi-objective Programming
Stohastic Models and Optimization Scheduling
Macroeconomics, Economic Theory, Games Statistics and Econometrics
Marketing and Data Analysis
Information and Decision Support Systems
Banking, Finance, Insurance
Environment, Energy, Health
Neural Networks and Fuzzy Systems
Control Theory Simulations
Practical OR and Applications
Fuzziology
Fuzzy logic techniques & Algorithm Fuzzy mathematics
Fuzzy analysis, Fuzzy topology and geometry
Fuzzy algebra
Fuzzy mathematical programming
Fuzzy numerical methods, Fuzzy scientific computing
Fuzzy differential equations and dynamical systems
Operations research, optimization and decision making in fuzzy environments
Application of fuzzy systems in industrial engineering and management and knowledge sciences
Fuzzy statistics and probability, Fuzzy data analysis, Fuzzy cluster analysis
Fuzzy robotics, Fuzzy logic and control
Fuzzy expert and intelligent systems
Software design for fuzzy systems
Application of fuzzy systems in science and engineering