金属矿床采矿方法的选择是相当复杂的，它受多种因素制约．决策者经常面对多个相互矛盾的目标，如安全性最好、费用最低、贫化最小等．在诸多目标中，一些决策者往往频向于某一方面最优，如安全．对他们来说，与安全有关的各种因素比其它因素更重要．多属性效用理论（MAUT——Multi-AttributeUtiltiyTheory）为克服决策中的偏向与主见提供了方便的解决办法．本文论述综合应用多属性效用理论和专家系统开发用于选择采矿方法的决策支持系统（DSS）的研究． The choice of the mining method for a metal deposit is rather complicated and is governed by many factors. Policymakers often face multiple conflicting goals, such as best security, lowest cost and least depletion. Among many goals, some policymakers tend to be optimal in one aspect, such as security. For them, safety-related factors are more important than other factors. MAUT - Multi-AttributeUtiltiyTheory provides a convenient solution for overcoming the bias and prejudice in decision-making. This article discusses the study of the application of multiple attribute utility theory and expert systems to the development of decision support systems (DSSs) for the selection of mining methods.