Research On Knowledge Representation And Reasoning Mechanism Of Product R&D IGDSS

Today, information technology is developing the increasingly rapidly, The decision-making environment and conditions product development are more and more complex, the time available for decision-making is shorter and shorter, to deal with the growing volume of information and data, the personnel involved in decision-making increasingly more, aspects of relationships are more and more complex.The cycle of complex product design, manufacturing and assembly is relatively long. Besides designer of different areas and different stages, other relevant policy makers, manufacturers, testers, users and other broad participation should also take part in the process of development, Only close collaboration of all members to ensure that the complexity of products designed to meet the manufacturing, use, maintenance, performance and other requirements.In this new situation, the establishment of efficient, reliable, accurate and intelligent group decision support system for complex product development is not only theoretical significance of a practical value of the work there.The knowledge representation is based on intelligent group decision-making research, the correct decision depends on advanced knowledge representation and reasoning mechanisms.Therefore, based on characteristics of complex product development, establishing complex product development based on IGDSS and designing knowledge base and reasoning mechanism become the focus of research.The main research findings are as following:1 Analyzes the characteristics of complex product development IGDSS,know that the characteristics of complex product obtained with the complex, multilevel nature of the collaborative and multi-module. Based on this characteristic,the framework of ontology technology and knowledge representation technologies, proposed the framework based on OWL and the complexity of knowledge representation model for product IGDSS.OWL description of the model to cases of child cases of complex products, resolved to support knowledge sharing and semantic issues;to organize sub-frame structure into the overall complexity of case mix case, consistent with complex product development and design ideas-from simple to complex.2 Case is stored in the ontology (OWL) file to the concept of ontology in the specific instance of the class (individual) to store case information, application knowledge representation model for complex product IGDSS constructed complex products IGDSS knowledge base.3 Analyzes the reasoning mechanism of complex product development IGDSS characteristics of complex product development IGDSS draw inference mechanism is case-based reasoning, and should have the semantics of support and knowledge sharing capabilities. According to the traditional case-based reasoning methods and semantic web technologies to the characteristics of semantic web technology combined with case-based reasoning to complex product development and design to meet current demand.4 In the case-based reasoning process, case retrieval is most critical,complex products in the case of semantic retrieval in similarity computation is necessary, based on this, this paper presents an improved model of semantic similarity calculation. On the basis of design for complex products, case retrieval model-case of complex products based on semantic retrieval model.And then design a complex product development IGDSS case-based reasoning model.5 Study complex products-cars, because the structure of vehicles is very complex and elaborate case studies to facilitate the process of selecting only the wheels, tires and wheels, the three sub-parts of a typical practical application for specific,verified complex products IGDSS knowledge representation model,case retrieval model is feasible. Eventually obtained, containing the value in the complexity of ontology and semantic information retrieval case base, the complex product case retrieval model is superior to the traditional numerical retrieval model.