Fuzzy analogical model of adaptation for case-based reasoning

被引：0

作者：

Bouchon-Meunier, Bernadette ^{[1
]}

Marsala, Christophe ^{[1
]}

Rifqi, Maria ^{[1
]}

机构：

[1] Univ Paris 06, CNRS, UMR 7606, LIP6, F-75016 Paris, France

来源：

PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | 2009年

关键词：

Case-based reasoning; analogy; interpolation; adaptation; fuzzy sets; LINGUISTIC MODIFIERS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Case-based reasoning is a recognized paradigm and has been explored in both applied and methodological directions. In the several phases of CBR, the adaptation phase is certainly the most problematic whereas the most characteristic and interesting phase. We propose to view this task through a fuzzy analogical scheme. The adaptation is realized by focusing on the relation existing between the problem to be solved and the retrieved cases. Two approaches are proposed here: the relation can be captured by a fuzzy linguistic modifier or by a fuzzy interpolation.

引用

页码：1625 / 1630

页数：6

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