Special issue : recent advances in soft computing : theories and applications

Lim, Chee Peng, Balas, Valentina E. and Do, Quoc 2013, Special issue : recent advances in soft computing : theories and applications, Journal of intelligent and fuzzy systems, vol. 24, no. 3, pp. 415-416.

Attached Files
Name Description MIMEType Size Downloads

Title Special issue : recent advances in soft computing : theories and applications
Author(s) Lim, Chee Peng
Balas, Valentina E.
Do, Quoc
Journal name Journal of intelligent and fuzzy systems
Volume number 24
Issue number 3
Start page 415
End page 416
Total pages 2
Publisher IOS Press
Place of publication Amsterdam, The Netherlands
Publication date 2013
ISSN 1064-1246
1875-8967
Summary Soft Computing is an interdisciplinary area that encompasses a variety of computing paradigms. Examples of some popular soft computing paradigms include fuzzy computing, neural computing, evolutionary computing, and probabilistic computing. Soft computing paradigms, in general, aim to produce computing systems/machines that exhibit some useful properties, e.g. making inference with vague and/or ambiguous information, learning from noisy and/or incomplete data, adapting to changing environments, and reasoning with uncertainties. These properties are important for the systems/machines to be useful in assisting humans in our daily activities. Indeed, soft computing paradigms have been demonstrated to be capable of tackling a wide range of problems, e.g. optimization, decision making, information processing, pattern recognition, and intelligent data analysis. A number of papers pertaining to some recent advances in theoretical development and practical application of different soft computing paradigms are highlighted in this special issue.
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C4 Letter or note
Persistent URL http://hdl.handle.net/10536/DRO/DU:30057726

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Google Scholar Search Google Scholar
Access Statistics: 20 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Tue, 12 Nov 2013, 14:12:34 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.