Z-Differential Equations

被引:47
作者
Mazandaram, Mehran [1 ]
Zhao, Yi [1 ]
机构
[1] Harbin Inst Technol, Sch Sci, Shenzhen 518055, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Acceptable information area; horizontal membership functions (HMFs); random process; (s; mu)-cut; Z-derivative; Z-Laplace transform; Z-numbers; Z-process; HORIZONTAL MEMBERSHIP FUNCTION; Z-NUMBERS; NUMERICAL-SOLUTION; CONTROLLED SYSTEM; FUZZY; EXISTENCE;
D O I
10.1109/TFUZZ.2019.2908131
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is devoted to make a framework for studying a class of uncertain differential equations called Z-differential equations. In order to achieve the purpose, we first introduce four basic operations on Z+-numbers based on semigranular function. Then, the limit and continuity concepts of a Z-number-valued function are given, under a definition of a metric on the space of Z+-numbers. Moreover, the concepts of Z-differentiability, Z-integral, and Z-Laplace transform of a Z-number-valued function are introduced. In addition, by giving some theories proved in this paper, a basis for calculus-Z-calculus-is established. We further give theories based on which existence and uniqueness of Z-differential equations are investigated. A conceptual unity between Z-differential equations and Z+-numbers is also shown. The conceptual unity demonstrates that a Z-differential equation may be expressed as a bimodal differential equation combining a fuzzy differential equation (FDE) and a random differential equation. Moreover, the concept of a bimodal cut called $ (s, mu)-cut is introduced and its relation to other new concepts such as acceptable time and acceptable information area is explained. Using an example, the application of Z-differential equations in medicine is clarified. It is demonstrated that Z-differential equations outperform FDEs in making a decision under uncertainty.
引用
收藏
页码:462 / 473
页数:12
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