Efficient fuzzy cognitive Modeling for unstructured information

被引：0

作者：

Wong, Kok Wai ^{[1
]}

Gedeon, Tamas D. ^{[2
]}

Koczy, Laszlo T. ^{[3
,4
]}

机构：

[1] Murdoch Univ, Sch Informat Technol, Perth, WA 6150, Australia

[2] Australian Natl Univ, Dept Comp Sci, Canberra, ACT 0200, Australia

[3] Budapest Univ Technol & Econ, Dept Telecommun & Media Informat, H-1117 Budapest, Hungary

[4] Szechenyi Istvan Univ, Mech & Elect Engn, Inst Informat Technol, Gyor, Hungary

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006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：

This paper presents an efficient fuzzy cognitive modeling which can handle granulation, organisation and causation. This cognitive modeling technique consists of multiple levels where the lowest level includes details required to make a decision or to transfer to the next stage. This Fuzzy Cognitive Modeling will enhance the usability of fuzzy theory in modeling complex systems as well as facilitating complex decision making process based on ill structured or missing information or data.

引用

页码：358 / +

页数：2