TAILIEUCHUNG - An expert system for national economy model simulations

There are some fundamental economic uncertainties. We cannot forecast economic events with a very high scientific precision. It is very clear that there does not exist a unique "general" model, which can yield all answers to a wide range of macroeconomic issues. Therefore, we use several different kinds of models on segments of the macroeconomic problem. | Yugoslav Journal of Operations Research 12 (2002), Number 2, 247-269 AN EXPERT SYSTEM FOR NATIONAL ECONOMY MODEL SIMULATIONS Lazo ROLJI] Fulbright Fellow, DuPree College of Management Georgia Institute of Technology, Atlanta, Georgia Faculty of Economics, University of Banja Luka Banja Luka, Republic of Srpska Abstract: There are some fundamental economic uncertainties. We cannot forecast economic events with a very high scientific precision. It is very clear that there does not exist a unique "general" model, which can yield all answers to a wide range of macroeconomic issues. Therefore, we use several different kinds of models on segments of the macroeconomic problem. Different models can distinguish/solve economy desegregation, time series analysis and other subfactors involved in macroeconomic problem solving. A major issue becomes finding a meaningful method to link these econometric models. Macroeconomic models were linked through development of an Expert System for National Economy Model Simulations (ESNEMS). ESNEMS consists of five parts: (1) small-scale short-term national econometric model, (2) Methodology of Interactive Nonlinear Goal Programming (MINGP), (3) data-base of historical macro-economic aggregates, (4) software interface for interactive communications between a model and a decision maker, and (5) software for solving problems. ESNEMS was developed to model the optimum macro-economic policy of a developing country (SFRY-formerly Yugoslavia). Most econometric models are very complex. Optimizing of the economic policy is typically defined as a nonlinear goal programming problem. To solve/optimize these models, a new methodology, MINGP, was developed as a part of ESNEMS. MINGP is methodologically based on linear goal programming and feasible directions method. Using Euler's Homogeneous Function Theorem, MINGP linearizes nonlinear homogeneous functions. The highest priorities in minimizing the objective function are the growth of gross domestic .

• Kinh tế học
• Expert systems
• Econometric model
• National macro economic policy
• Multicriterial decision making
• Interactive nonlinear goal programming
• Pareto optimality
• Facilitating organisational sustainability
• Expert investment systems
• Human capital analysis
• Finance industry
• Natural Language
• Comparisons with Database Systems
• scientific reports
• model language
• process natural language
• OTHER NEW TECHNIQUES
• MT SYSTEMS
• Expert system in identifying organizational ethics through controlling decision making process
• Values and ethics
• Lack of values
• Monitor expert systems
• Expert System
• University Courses
• Heating Processes
• Process Control
• Metal Forming
• Supply Chains
• Fuzzy expert systems
• Positive rules
• Diagnosis of depression types
• Intelligent systems
• Fuzzy logic
• Ebook Business information systems
• Business information systems
• Business data processing
• Information storage
• Retrieval systems
• Management information systems
• impact assessment
• environmental management
• Project screening
• Water impacts
• environmental
• Multicriteria analysis
• Computer expert systems
• Wood industries
• Greek wood companies
• Introduction to MIS
• Information systems
• Complex decisions
• Artificial intelligence
• Building expert systems
• Media mix
• Decision support systems
• Diffusion of dairy innovations
• Extension methodologies
• equally affected
• Constitutional
• fibrosis and calcification
• Pleural effusion
• empyema thoracis
• extrapulmonary despite
• Annotated Logic
• Power Transmission
• Diseases Diagnosis
• Deficit Disorder
• PID Controller
• Automatic Steering of Ships
• code programming
• programming languages​​
• programming tips
• Auto Map
• software systems GeminiCAD
• Big data
• Case based reasoning
• Data quality
• Language integrated querying
• Information Science
• Paradigm for uncertain knowledge representation
• Plausible Petri nets
• Knowledge representation
• hệ thống thông tin địa lý
• ứng dụng GIS
• kỹ thuật trắc địa
• dữ liệu viễn thám
• khoa học môi trường