On the Fuzzy Interrelationships of Data, Information, Knowledge and Wisdom

被引：0

作者：

Nimberger, Andreas ^{[1
]}

Seising, Rudolf ^{[2
]}

Wenzel, Constanze ^{[3
]}

机构：

[1] Univ Magdeburg, Fac Comp Sci, ITI, DKE Grp, D-39016 Magdeburg, Germany

[2] European Ctr Soft Comp Edificio Cient Tecnol, Asturias 33600, Spain

[3] Univ Magdeburg, Fac Med, Clin Psychiat Psychotherapy & Psychsomat Med, Magdeburg 39106, Germany

来源：

2009 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY | 2009年

关键词：

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：

When talking about data, information, knowledge and wisdom we usually have a vague understanding on the concepts that are described by these terms. However, their relationships and dependencies can - and usually have to be described from different perspectives in order to cover most of their facets. In this paper, we try to give an overview of some fundamental aspects that we have to consider. This involves brief discussions of semiotics, as well as information, communication and transmission theory. Furthermore, we provide some thoughts about the involved fuzziness when analysing the different interrelationships of these concepts.

引用

页码：461 / +

页数：2

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