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A Study on Model-Driven Decision Support System
Author: HuDongBo
Tutor: ChenXiaoHong
School: Central South University
Course: Management Science and Engineering
Keywords: Decision support systems Model-Driven Model Management Object-oriented approach Component-based development
CLC: TP311.52
Type: PhD thesis
Year: 2009
Downloads: 560
Quote: 4
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Abstract
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The model-driven decision support system (MD-DSS) is the most important type of a decision support system, model management and development of the MD-DSS is the focus of the study of domestic and foreign scholars. However, the existing research, there are still some deficiencies, MD-DSS model representation and management methods can not effectively support decision-making problem solving, the rapid development of the MD-DSS is still a lack of effective methods and a complete solution, The applicability and efficiency of the development of the MD-DSS are not able to meet the actual decision-making needs, leading to lower its penetration in the enterprise and application level. In response to these problems, the MD-DSS system. Main contents and results include: (1) MD-DSS model represents the method to study the general rules of the basic features of the MD-DSS and decision-making problem solving, design model should follow the four principles that the principle of the whole process, the principle of unity, separation principle and user principle. Based on these principles, a new model, said method - based on problem solving model representation (PSBMR) method, which the decision-making from the five levels (program layer, task layer, model layer algorithm layer and data layer) said that the problem solving process to achieve a decision-making problem solving class of the whole process of abstraction and representation; unified representation of the model and algorithm object; decision-making model to achieve a clear representation of the meaning of its management; improve the decision-making program, the decision-making model reusability and decision-making algorithm. (2) MD-DSS model management methods research based PSBMR method MD-DSS model management problem and the solution: the model is clear and simple integration based on the data connection, and to solve the model integration Granularity in conflict with the cycle of conflict issues; expression rulemaking expression test model management system model based metadata management expert user-oriented decision-making model with heterogeneous multi-database connection to the database; understanding; definition of algorithmic information and algorithm parameters to achieve standardization of real-time dynamic algorithm dictionary management interface and algorithm parameters, users and third-party vendors for decision-making provides the basis for the extension of the algorithm; through three in decision-making problem solving level of synergy, and management to solve the decision problem. (3) MD-DSS quickly develop research based PSBMR method, proposed a four libraries (program library, model library, library of algorithms and databases) and six manager (program library manager, program manager, model library Manager algorithm library management, data connection manager and metadata manager) constitute the general framework of the MD-DSS. On this basis, the object-oriented approach is introduced from the representation of the model to the development of MD-DSS level design and developed a set of data connectivity components, metadata management component, the component of program management, model management component algorithm management components, including the complete development of MD-DSS components. Provides a perfect solution for the rapid development of the MD-DSS. Use of this paper, the method of PSBMR and development of MD-DSS development component, the actual development of an MD-DSS, metal mineral resources decision support system. The developed results show that, relative to the other MD-DSS development methods, component-based development to improve development efficiency, the MD-DSS has more individuality and flexibility.
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
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