Web Services-based Group Decision Support Systems Research

Study on algorithms of Group Decision and Group Decision Support System (GDSS) are hot issues in the field of Systems Engineering and Artificial Intelligence. They are widely applied in complex system assessments, decision-making for large-sized projects and so on.There are some deficiencies in the existing GDSS as encountering Non-Structure and Semi-Structure problems. For example, lack of efficicent method to reason the qualitative knowledge, difficulty in transforming qualitative data to quantitative data, insufficiency in reusage of software and usage of different operating systems. This dissertation takes the construction of GDSS based on Web Services as the major line. Using the risk evaluation of aerospace projects as the background of application, it mainly studies on the algorithms for Non-Structure and Semi-Structure problems and builds a practical system WIFGDSS (Web Services based Intelligent FAHP GDSS). The main works of this dissertation are as follows:(1) For non-structure problem, this dissertation bring Rough Set theory and Qualitative Simulative for Imprise Model (QSIM) into GDSS in order to support the system in an intelligence aspect.The classical Rough Set is expended under a group enviorment, which could enrich the acquirement of qualitative knowledge. QSIM has been improved in three ways: using the unknown rational number to describe qualitative knowledge, applying the theory of group decision to modeling the uncertain relationship of the parameters, integrating the physical logic-based qualitative reasoning method with experience and knowledge of experts-based reasoning method, which enhance the creativity of the QSIM.(2) For semi-structure problem, this paper proposes a new algorithm of double-parameter -Fuzzy AHP using deviation matrix (DPDM-FAHP). By proposing a double parameter based expression, it improves the deficiency of construction of fuzzy consistent weight matrix in existing FAHP using deviation matrix. The constraints and the values rule of parameters also has been given by analyzing results of simulation experiment. Applied to the risk evaluation of aerospace projects, it is proved that DPDM-FAHP has a better performance than the existing FAHP methods by comparing the result with theirs.(3) In order to improve the reusage of the software and the usage of different operating systems, this dissertation builds a practical system WIFGDSS based on Web Services. WIFGDSS is built by assimilating the views of Web Services.There are two huge differences between WIFGDSS and other GDSS.One is that the each algorithm exists as a service, which makes the architecture of the system changed from C/S to B/S. And the services implement the four function of the system: Rough Set Reasoning, QSIM qualitative reasoning, Group Decision with FAHP and Web Services Management. The other one is that building up a distribute modle base adopting Private UDDI. It expends the range of coverage of distribute modles, and reduces the cost as well. This dissertation specifys the implementation of the big three layers and the four modules. By analyzing the two core modules, which are decision module and modle base module, the two advantages of WIFGDSS has been showed: excellence support to decision-making and managing modles with high efficiency.Finally, WIFGDSS is applied to the Aerospace Project Risk Evaluation. The practice proves that this system possesses better group reasoning ability and fuzzy-hierarchy Analytic ability.At the mean time, it could be reused rapidly and accessed to different operating systems.