The 3rd Int'l Conference on Operations Research and Fuzziology (ORF 2019) Conference Date: July 19-21, 2019Conference Venue: Guilin, ChinaWebsite: http://www.confjuly.org/conference/ORF2019/Online Registration System: http://www.confjuly.org/RegistrationSubmission/default.aspx?ConferenceID=1133If 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 PhysicsIndex: 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: This email address is being protected from spambots. You need JavaScript enabled to view it.: +86 132 6470 2250QQ: 3025797047WeChat: 3025797047 Conference Topics Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest: Operations ResearchLinear and Non-linear ProgrammingInteger ProgrammingCombinatorial and Discrete OptimizationMulti-objective ProgrammingStohastic Models and Optimization SchedulingMacroeconomics, Economic Theory, Games Statistics and EconometricsMarketing and Data AnalysisInformation and Decision Support SystemsBanking, Finance, InsuranceEnvironment, Energy, HealthNeural Networks and Fuzzy SystemsControl Theory SimulationsPractical OR and ApplicationsFuzziologyFuzzy logic techniques & Algorithm Fuzzy mathematicsFuzzy analysis, Fuzzy topology and geometryFuzzy algebraFuzzy mathematical programmingFuzzy numerical methods, Fuzzy scientific computingFuzzy differential equations and dynamical systemsOperations research, optimization and decision making in fuzzy environmentsApplication of fuzzy systems in industrial engineering and management and knowledge sciencesFuzzy statistics and probability, Fuzzy data analysis, Fuzzy cluster analysisFuzzy robotics, Fuzzy logic and controlFuzzy expert and intelligent systemsSoftware design for fuzzy systemsApplication of fuzzy systems in science and engineering