采用多准则决策算法的耕地适宜性评价

针对空间数据属性值的不精确对评价因子总体排序的影响的问题,该文提出了ELECTRE TRI算法与GIS结合的耕地适宜性评价方法。该方法可以抵消空间数据属性值的不精确对评价因子总体排序的影响,使评价结果更客观真实。在ELECTRE TRI算法的两种分类方法中,悲观分类法的阈值比较按照从高到低排序容易造成属性值的不精确,影响排序结果,而乐观分类法能较好地避免出现类似情况。两种评价结果的评价单元数在三种相应等级下重合评价单元较多。评价结果表明评价结果较为相近,具有一定准确合理性。研究结论对区域耕地利用结构调整、划定基本农田保护区以及促进耕地差别化管理具有一定的参考价值。     

An integration of multi-criteria decision making techniques with a delay time model for determination of inspection intervals for marine machinery systems

For certain critical equipment items in marine machinery systems, the optimum maintenance strategy would be a scheduled on-condition operation. This involves inspection of the equipment items in order to monitor their performance degradation and, invariably, carry out repair or replacement tasks. The main challenge with this type of maintenance approach is the determination of the appropriate interval for performing the inspection task. This paper presents a methodology which integrates multi-criteria decision making (MCDM) tools with a delay time model for the determination of optimum inspection intervals for marine machinery systems. With this approach, multiple decision criteria are modelled with the delay time concept and aggregated with MCDM tools such that different criteria can be applied simultaneously in the ranking of different inspection interval alternatives. The applicability of the proposed methodology is demonstrated using the case study of a water cooling pump of the central cooling system of a marine diesel engine.