区间结构：不确定性信息的表征框架
Interval Structure: A Framework for Representing Uncertain Information
摘要：
在本文中，提出了一个统一的框架表示不确定信息的概念的基础上的区间结构。结果表明，粗糙集模型的上下近似、关联演算的上下界以及置信函数和可达性函数都服从区间结构公理.一个区间结构可以用来综合由专家提供的决策规则。一个有效的算法来找到所需的规则集的发展，从一组健全和完整的推理公理。
英文摘要：
In this paper, a unified framework for representing uncertain information based on the notion of an interval structure is proposed. It is shown that the lower and upper approximations of the rough-set model, the lower and upper bounds of incidence calculus, and the belief and plausibility functions all obey the axioms of an interval structure. An interval structure can be used to synthesize the decision rules provided by the experts. An efficient algorithm to find the desirable set of rules is developed from a set of sound and complete inference axioms.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
