A multi-granulation decision-theoretic rough set method for distributed fc-decision information systems: An application in medical diagnosis
A multi-granulation decision-theoretic rough set method for distributed fc-decision information systems: An application in medical diagnosis
复制标题
分布式FC决策信息系统的多粒度决策理论粗糙集方法：在医学诊断中的应用
DOI：
10.1016/j.asoc.2017.02.033
复制
发表时间：
2017-07-01
影响因子：
8.7
通讯作者：
Wang, Sichun
中科院分区：
文献类型：
--
作者：
Li, Zhaowen;Liu, Xiaofeng;Wang, Sichun
信息系统是人工智能领域的重要模型。分布式模糊决策信息系统是一个具有分布式模糊数据的信息系统。本文研究了一个分布式FC决策信息系统，提出了该系统的一种多粒度决策理论方法，并给出了一个在医疗诊断中的应用。首先利用高斯核方法建立FC-决策信息系统的模糊T-cos-等价关系，其中高斯核用于计算该系统中对象之间的相似度。然后，定义了模糊集上的近似等价关系(简称ae-关系)，并在此ae-关系的基础上，给出了由模糊TCOs-等价关系诱导的ae-粒结构。其次，从多粒度的角度出发，利用集合的包含度，提出了一种适用于分布式FC决策信息系统的多粒度决策理论粗糙集方法。最后，以医疗诊断为例说明了该方法的有效性。这些结果将有助于处理分布式模糊数据，并对建立分布式FC决策信息系统中的多粒度决策理论粗糙集框架具有重要意义。(C)2017爱思唯尔B.V.保留所有权利。
An information system is an important model in the field of artificial intelligence. A distributed fc-decision information system is an information system with distributed fuzzy data. This paper investigates a distributed fc-decision information system, proposes a multi-granulation decision-theoretic method for this system and gives an application in medical diagnosis. The fuzzy T-cos-equivalence relation, induced by an fc-decision information system by means of Gaussian kernel method, is first obtained, where Gaussian kernel is used to compute the similarity between objects in this system. Then, the approximately equal relation (for short, ae-relation) on fuzzy sets is defined and based on this ae-relation, the ae-granular structure induced by the fuzzy Tcos-equivalence relation is given. Next, a multi-granulation decision-theoretic rough set method for distributed fc-decision information systems is proposed by means of inclusion degree of sets in the viewpoint of multi-granulation. Finally, an example of medical diagnosis is employed to illustrate the effectiveness of the proposed method. These results will be helpful for dealing with distributed fuzzy data and significant for establishing a framework of multi-granulation decision-theoretic rough sets in distributed fc-decision information systems. (c) 2017 Elsevier B.V. All rights reserved.