Study And Development Of Intelligent Decision Making System Oriented On City Emergency Conducting

With the development of society, people concerns their safety than ever before. Rapid emergency response and process to all kinds of accidents can protect people' s lives and assets effectively. Maintaining continued and steady development of society and building high efficient city emergency conducting system (CECS) are becoming the task which is concerned by all levels governments day by day.This paper analyses the work characters of CECS based on the summary of development and application actuality of CECS in China and abroad. The author puts forward a new system structure of CECS based on intelligent decision-making process. A planning case base would be created due to the CECS emphasizes rapid decision-making and treatment. Planning case is a model treating all kinds of accidents; it is an important reference of Decision-making and conducting system, but general mode of planning case making by people manually can not adapt the continued changes of circumstance. Further more the handmade planning cases can not be updated in time. Intelligent decision-making is a process of intelligent conducting based on planning case. This paper builds an intelligent decision-making model based on machine learning concept, which includes three circular work steps: planning case management, reasoning and decision-making, learning and evaluation. In the phase of planning case management, a character model is created, and a method to manage the planning case is developed. These two phases are important to intelligent decision-making. In the phase of reasoning and decision making, the system runs the program to reference and to match an appropriate case in the case base using CBR technique according to the main characters in the accident. The system locates and selects corresponding case to support man' s conducting and scheduler. The learning and evaluation is a critical phase in realization of intelligent decision-making, it finishs the process of learn and evaluate the case, confirms the case, and extract its character, performs data mining applying the association rule analysis method. Finally a decision-making tree will be created based on character attributes. The learning and evaluation realizes self learning process based on planning case mode at the basis of case evaluation. It makes CECS has the ability of rapid response and emergency process. SOA technique and module mode will be applied in the realization of software, which makes the system has more applicability and higher efficiency and maintainability.TheⅠ-CECS has been developed in the project of Guang-Zhou city monitoring conducting system and the effect is acceptable.