Linguistic modifiers in a symbolic framework

被引:16
作者
Akdag, H
Truck, I
Borgi, A
Mellouli, N
机构
[1] Univ Paris 06, F-75015 Paris, France
[2] Univ Reims, LERI, F-51687 Reims 2, France
关键词
linguistic modifiers; symbolic degrees; gradual knowledge; fuzzy set theory;
D O I
10.1142/S0218488501000983
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In common language, as well as in knowledge-based systems, the truth of a proposition can be evaluated in a qualitative manner using adverbs usually represented on a scale of symbolic degrees. To combine or aggregate such symbolic degrees, we may need scales of different precision levels. We propose to model small variations inside a degree scale using linguistic modifiers in a symbolic framework. We formally define such modifiers and we distinguish three families: reinforcing, weakening and central modifiers. We also introduce the original notion of intensity rate associated to a linguistic degree on a scale base. After that, we propose a generalization of our modifiers, so we obtain more sophisticated tools. These have been used, in particular, in an application on colorimetry that allows us to alter the color slightly. The importance of our work is that most of our linguistic modifiers verify some interesting properties on their intensity rate: notably, they assume a certain order relation.
引用
收藏
页码:49 / 61
页数:13
相关论文
共 14 条
[11]  
SERIDI H, 1998, 5 INT WORKSH FUZZ NE, P202
[12]  
SERIDI H, 1998, INFORMATION PROCESSI, V2, P1684
[13]  
TRUCK I, 2001, FLA 2001 S INT ICSC, P702
[14]  
ZADEH LA, 1975, INFORM SCIENCES, V8, P199, DOI [10.1016/0020-0255(75)90036-5, 10.1016/0020-0255(75)90046-8]