不确定信息环境下多属性决策方法的研究进展

Research advance in multi-attribute decision making under the environment of uncertain information

多属性决策在经济、社会和工程等领域有着广泛的应用.由于决策系统的结构复杂性和对外界环境的开放性,传统的实数型信息很难刻画系统的特征,有必要研究不确定信息环境下多属性决策模型和方法.论文对近十余年来研究的几种不确定信息及其信息集成算子,多属性决策的赋权方法和决策技术,若干偏好关系一致性的概念、不一致性调整的算法、偏好关系的排序方法和共识性模型等问题进行了综述,并对未来的研究进行了展望.

Multi-attribute decision making is widely applied to the fields of economy,society and engineering.Due to the structural complexities of decision-making systems and openness to the external environment,the traditional real number information is hard to describe the characteristics of systems.Therefore,it is necessary to study the multi-attribute decision model and methods under the uncertain information environment.This paper reviews the latest research progress on multi-attribute decision making under the environment of several kinds of uncertain information in the past 10 years,including several uncertain information aggregation operators,weighting methods and decision technology in the multi-attribute decision making problems,the concepts of consistency of preference relations,the adjustment algorithms for inconsistent preference relations,the ranking method and consensus models of preference relations.The future researches are prospected in the paper.