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
相关论文
共 50 条
  • [11] Introduction to type-2 fuzzy logic systems
    Karnik, NN
    Mendel, JM
    1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 915 - 920
  • [12] A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems
    Castillo, Oscar
    Amador-Angulo, Leticia
    Castro, Juan R.
    Garcia-Valdez, Mario
    INFORMATION SCIENCES, 2016, 354 : 257 - 274
  • [13] Shadowed Type-2 Fuzzy Logic Systems
    Wijayasekara, Dumidu
    Linda, Ondrej
    Manic, Milos
    PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON ADVANCES IN TYPE-2 FUZZY LOGIC SYSTEMS (T2FUZZ), 2013, : 15 - 22
  • [14] Interval type-2 fuzzy logic systems
    Liang, QL
    Mendel, JM
    NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2, 2000, : 328 - 333
  • [15] Designing Generalised Type-2 Fuzzy Logic Systems using Interval Type-2 Fuzzy Logic Systems and Simulated Annealing
    Almaraashi, Majid
    John, Robert
    Coupland, Simon
    2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012,
  • [16] Integrated development platform for intelligent control systems based on type-2 fuzzy logic
    Sepulveda, R
    Castillo, O
    Melin, P
    Montiel, O
    Rodríguez, A
    PROCEEDINGS OF THE 8TH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1-3, 2005, : 164 - 167
  • [17] Intelligent control of dynamic systems using type-2 fuzzy logic and evolutionary computing
    Castillo, O
    Huesca, G
    Valdez, F
    PROCEEDINGS OF THE 8TH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1-3, 2005, : 168 - 171
  • [18] Fuzzy logic type-2 intelligent moisture control system
    Wozniak, Marcin
    Szczotka, Jozef
    Sikora, Andrzej
    Zielonka, Adam
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [19] Interval type-2 fuzzy logic for intelligent control applications
    Castro, Juan R.
    Castillo, Oscar
    NAFIPS 2007 - 2007 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, 2007, : 592 - +
  • [20] Adaptive type-2 fuzzy logic for intelligent home environment
    Huh, Sunghoi
    Yang, Seung-Eun
    Park, Kwang-Hyun
    Do, JunHyeong
    Jang, Hyoyoung
    Bien, Z. Zenn
    ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 : 26 - +
12345