A Note on Z-numbers

被引:951
作者
Zadeh, Lotfi A. [1 ]
机构
[1] Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA
关键词
Reliability; Fuzzy logic; Computing with words; Granular computing; Uncertain computing;
D O I
10.1016/j.ins.2011.02.022
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Decisions are based on information. To be useful, information must be reliable. Basically, the concept of a Z-number relates to the issue of reliability of information. A Z-number, Z, has two components, Z = (A,B). The first component, A. is a restriction (constraint) on the values which a real-valued uncertain variable, X, is allowed to take. The second component, B, is a measure of reliability (certainty) of the first component. Typically, A and B are described in a natural language. Example: (about 45 min, very sure). An important issue relates to computation with Z-numbers. Examples: What is the sum of (about 45 min, very sure) and (about 30 min, sure)? What is the square root of (approximately 100, likely)? Computation with Z-numbers falls within the province of Computing with Words (CW or CWW). In this note, the concept of a Z-number is introduced and methods of computation with Z-numbers are outlined. The concept of a Z-number has a potential for many applications, especially in the realms of economics, decision analysis, risk assessment, prediction, anticipation and rule-based characterization of imprecise functions and relations. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:2923 / 2932
页数:10
相关论文
共 18 条
[1]  
Ash R. B., 2008, BASIC PROBABILITY TH
[2]  
Buckley JJ, 2008, STUD FUZZ SOFT COMP, V222, P3
[3]   Nutri-Educ, a nutrition software application for balancing meals, using fuzzy arithmetic and heuristic search algorithms [J].
Buisson, Jean-Christophe .
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2008, 42 (03) :213-227
[4]  
Kaufman A., 1985, INTRO FUZZY ARITHMET
[5]  
Negoita C.V., 1975, APPL FUZZY SETS SYST
[6]  
Trillas E, 2007, STUD FUZZ SOFT COMP, V217, P133
[7]  
Yager RR, 1998, NATO ADV SCI I F-COM, V162, P94
[8]  
Zadeh L. A., 1979, Advances in Fuzzy Set Theory and Applications, P3, DOI [10.1142/9789814261302_0022, DOI 10.1142/9789814261302_0022]
[9]  
Zadeh L.A., 2010, C POW PRES U SO CAL
[10]  
Zadeh L.A., 1996, MULTIPLE VALUED LOGI, V1, P1