AHP DESIGN ISSUES FOR LARGE‐SCALE SYSTEMS
研究了在大规模系统中实施层次分析法（AHP）的设计问题，包括使用不完全实验设计简化数据收集，以及评估通过删除属性或包含相同属性来缩小层级结构的影响。
ABSTRACT The analytic hierarchy process (AHP) is a decision analysis technique that uses judgments from a group of relevant decision makers and hierarchical decomposition to derive a set of ratio‐scaled utility measures for decision alternatives. This paper addresses a number of design issues involved in the implementation of AHP for large‐scale systems. Specifically, it describes the use of incomplete experimental designs for simplifying data‐collection tasks. The effects of reducing the size of the hierarchy through attribute deletion and the effects of including identical attributes on any given level also are evaluated.