【摘要】 提出了一种不完整信息下的偏好估计方法，ＰＡＩＩ法。决策者可以对价值树中的目标权重和方案结果进行区间估计，并通过线性规划方法把有关权重区间和方案结果的不完整信息处理为价值区间和控制关系。同时，决策者既可通过新的信息描述，又可通过调整原来的判断改进偏好估计，使得决策结果更加具体，所表达的偏好信息量更大。ＰＡＩＩ法是对ＳＭＡＲＴ方法的扩展更多还原

【Abstract】 In this paper, a kind of preference assessment method with incomplete information, abbreviated as PAII, is introduced.The decision maker can enter interval judgements which indicate relative importance of the attributes and the possibly range valued information about the outcomes of the alternatives into value tree.Both incomplete information are processed with linear programming into value intervals and dominance relations. As the decision maker refines the description of his preference by entering new statement or tightening his earlier judgement, these results become more detailed and convey more information about which alternatives are preferred.更多还原