Employing Type-2 Fuzzy Logic Systems in the Efforts to Realize Ambient Intelligent Environments

被引：16
|
作者：
Hagras, Hani [1 ]
Alghazzawi, Daniyal [2 ]
Aldabbagh, Ghadah [2 ]
机构：
[1] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England
[2] King Abdulaziz Univ, Fac Comp & Informat Technol, Jeddah 21413, Saudi Arabia
来源：
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | 2015年 / 10卷 / 01期
关键词：
D O I：
10.1109/MCI.2014.2350952
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Ambient Intelligence (AmI) is an emerging vision that aims to realize intelligent environments which are sensitive and responsive to the users' needs and behaviors. This paper presents an insight on the benefits that type-2 Fuzzy Logic Systems (FLSs) can offer towards the efforts to realize Ambient Intelligent Environments (AIEs). We will introduce research results from the Scaleup project showing different type-2 FLSs based applications in AIEs. Such applications include intelligent machine vision systems, blending real and virtual realities over dispersed geographical areas and allowing natural communication between the AIE and humans.
引用
收藏
页码：44 / 51
页数：8
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