Quantitative Logic and Soft Computing

Quantitative Logic and Soft Computing

Author: Bing-Yuan Cao

Publisher: Springer

ISBN: 3642156592

Category: Computers

Page: 800

View: 449

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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.
Quantitative Logic and Soft Computing 2016
Language: en
Pages: 679
Authors: Tai-He Fan, Shui-Li Chen, San-Min Wang, Yong-Ming Li
Categories: Technology & Engineering
Type: BOOK - Published: 2016-09-21 - Publisher: Springer

This book is the proceedings of the Fourth International Conference on Quantitative Logic and Soft Computing (QLSC2016) held 14-17, October, 2016 in Zhejiang Sci-Tech University, Hangzhou, China. It includes 61 papers, of which 5 are plenary talks( 3 abstracts and 2 full length talks). QLSC2016 was the fourth in a
Quantitative Logic and Soft Computing
Language: en
Pages: 800
Authors: Bing-Yuan Cao, Shuili Chen, Guojun Wang, Sicong Guo
Categories: Computers
Type: BOOK - Published: 2010-09-15 - Publisher: Springer

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,
Quantitative Logic and Soft Computing
Language: en
Pages: 705
Authors: Guojun Wang, Yongming Li, Bin Zhao
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: World Scientific

The QL&SC 2012 is a major symposium for scientists, and practitioners all around the world to present their latest reseaches, results, ideas, developments and applications in such areas as quantitative logic, many-valued logic, fuzzy logic, quantification of software, artificial intelligence, fuzzy sets and systems and soft computing. This invaluable book
Quantitative Logic and Soft Computing
Language: en
Pages: 800
Authors: Bing-Yuan Cao, Shuili Chen, Guojun Wang, Sicong Guo
Categories: Technology & Engineering
Type: BOOK - Published: 2010-10-14 - Publisher: Springer Science & Business Media

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,
Quantitative Logic and Soft Computing
Language: en
Pages: 800
Authors: Bing-Yuan Cao, Shuili Chen, Guojun Wang, Sicong Guo
Categories: Technology & Engineering
Type: BOOK - Published: 2010-09-15 - Publisher: Springer

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,