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Product details:
- Edition number 2010
- Publisher Springer
- Date of Publication 15 September 2010
- Number of Volumes 1 pieces, Book
- ISBN 9783642156595
- Binding Paperback
- No. of pages800 pages
- Size 235x155 mm
- Weight 2570 g
- Language English
- Illustrations 75 Illustrations, black & white 0
Categories
Short description:
This book is the proceedings of the 2nd International Conference on Quantitative
Logic and Soft Computing (QL & SC 2010) from Oct. 22-25, 2010 in Xiamen,
China.
Only high-quality papers are included. The 2nd International
Conference on Quantitative Logic and Soft Computing (QL & SC 2010),
built on the success of previous conferences, the QL & QS 2009 (Shanghai, China),
is a major symposium for scientists, engineers and practitioners in China to present
their updated results, ideas, developments and applications in all areas of quantitative
logic and soft computing. It aims to strengthen relations between industry research
laboratories and universities, and to create a primary symposium for world scientists
in quantitative logic and soft computing fields as follows:
1) Quantitative Logic.
2) Fuzzy Sets and Systems.
3) Soft Computing.
Long description:
Admittedly, the notion ?intelligence or intelligent computing? has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation. Various kinds of intelligent methods have been suggested, phenomenological or ontological, and we have been witnessing quite successful applications. On the other hand, ?Soft Computing Techniques? is the concept coined by Lot? Zadeh, referring to ?a set of approaches of computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty, imprecision and partial truth. ? Such a notion is well contrasted with the conventionalbinary logic based hard c- puting and has been effectively utilized with the guiding principle of ?exploiting the tolerance for uncertainty,imprecision and partial truth to achieve tractability, - bustness and low solution cost. ? The soft computing techniques are often employed as the technical entities in a tool box with tools being FL, ANN, Rough Set, GA etc. Based on one?s intuition and experience, an engineer can build and realize hum- like systems by smartly mixing proper technical tools effectivelyand ef?ciently in a wide range of ?elds. For some time, the soft computing techniques are also referred to as intelligent computing tools.
MoreTable of Contents:
Part 1 Keynote Speakers.- Part 2 Quantitative Logic.- Part 3 Fuzzy Sets and Systems.- Part 4 Soft Computing.
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