متدولوژی هدف یکپارچه چندگانه تصمیم گیری مطلوب جهانی بر بهره برداری از منابع معدنی

The concept of a complex large system of mineral resource exploitation was advanced from the system theory viewpoint. On the basis of the integrated techniques of qualitative and quantitative analysis, the multiple objective intelligence-integrated methodology for decision-making on mineral resource exploitation was investigated and its integrated model was also formulated. The mineral deposit model, expert system model for mining method selection and the artificial neural network model for prediction economic index, as well as the programming model, acted as the core of this system, while the multiple goal programming model served as the top of the model. An intelligent system to assist the programming of decision-making on mineral resource exploitation for operating mines was developed by means of the systematic combination of optimization technology with an artificial neural network, an expert system, computer-aided design and operations research (OR). The structure of an integrated intelligent system for decision-making on mineral resource exploitation was described. In addition, forecast and simulation, as well as optimization, were integrated. The system's preliminary application was illustrated with an example.

In the process of mineral resource exploration, which is the exploitation of mineral production, both the human and the mineral system interact and are conditioned on one another. Therefore, human experience, knowledge and the decision-maker's intention play important roles during the decision-making process (Wei et al., 1998). In recent years, rapidly developing modern systems science and computer techniques have provided powerful technological support for the global optimum decision-making on mineral resource exploitation (Sukumar, 1998 and Wei and Xu, 2003). In this paper, an integrated technique combining both qualitative and quantitative analyses is used to investigate decision-making on mineral resource exploitation and to formulate its multiple objective intelligence-integrated methodology.

Based on the above study, the multi-objective methodology with new concepts, advanced technology and integrated structure for the mineral resource exploitation decision making was investigated and its intelligence-integrated system was also developed by the authors. It proved to be significant and practically feasible. In this system, a new method was provided by which artificial intelligence and mathematical model were applied for the decision making of mineral resource exploitation. The practical performance of this methodology was excellent, showing that this new method can overcome the shortages existed in conventional methods. The decision making process is more scientific, rational and rapid. It improved greatly the management for mineral resource exploitation, hence helped the decision-makers to optimize the mineral resource exploitation globally.