Fuzzy Linguistic Summaries: Where Are We, Where Can We Go?

被引：0
|
作者：
Bouchon-Meunier, Bernadette [1 ]
Moyse, Gilles [1 ]
机构：
[1] Univ Paris 06, LIP6, UMR7606, F-75252 Paris 05, France
来源：
2012 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING & ECONOMICS (CIFER) | 2012年
关键词：
FUNCTIONAL-DEPENDENCIES; QUANTIFIERS; DATABASES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Along with the increase of the amount of data stored and to be analyzed, different techniques of data analysis have been developed over the years. One of them, the linguistic summary, aims at summing up large volume of data into simple sentences. In this paper, we present an overview of two main streams of research, namely fuzzy logic based systems and natural language generation, covering the methods designed to work with numerical data, time series, or simple labels (enumerations). We focus on the former stream and we give some hints to go further on fuzzy quantifiers.
引用
收藏
页码：329 / 336
页数：8
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