Uncertainty Measures Based on Rough Entropy in Set-valued Ordered Information Systems
Set-valued information systems generalized models of single-valued information is an important formal framework for the development of decision support systems. In this paper,we first introduce dominance relations and establish a rough set approach in setvalued ordered information systems. In addition,through introducing the concept of knowledge information entropy to set-valued information systems based on dominance relations,we prove that the knowledge information entropy is decreasing monotonously as the roughness of knowledge is enhanced. Moreover,new rough entropy of rough sets in set-valued ordered information systems is presented . This study is further proof that the rough entropy of rough sets along with enhancement of knowledge discernment drops monotonously in set-valued ordered information systems. These conclusions lay a certain amount of theoretic foundation for discovery and acquisition of knowledge in set-valued ordered information systems.
set-valued ordered information systems dominance relatio knowledge information entropy rough entropy rough degree keyword
Zhang Hui
College of Computer Engineering,Taiyuan University of Technology,Taiyuan 030024,China
国际会议
南宁
英文
148-151
2010-12-10（万方平台首次上网日期，不代表论文的发表时间）