Relevancy And Equivalence of Fuzzy Multi-state Systems And Conventional Multi-state Systems: Concept Comparision And Examples
Conventional multi-state system theories assumed that exact probability and performance level of each component state are known. However, in many real industrial applications, it is difficult to obtain these values because of insufficient data and inaccuracy in system models. The theories based on fuzzy multi-state systems provide a useful tool to complement conventional mulxi-state systems theories. In this paper, two important definitions of conventional multi-state systems and fuzzy multistate are compared: relevancy and equivalence. Examples are used to illustrate the comparisons.
Multi-state system fuzzy multi-state system definition
YI DING LIN CHENG
Department of Electrical Engineering, Technical University of Denmark, Elektrovej, Building 325,2800 Department of Electrical Engineering, Tsinghua University, Beijing 100084, China School of Managemen
国际会议
北京
英文
768-771
2011-06-20(万方平台首次上网日期,不代表论文的发表时间)