书目名称 | Quantitative Logic and Soft Computing |
副标题 | Vol 2 |
编辑 | Bing-yuan Cao,Guo-jun Wang,Si-zong Guo |
视频video | |
概述 | Recent research on Fuzzy Information and Engineering Results of the The 2nd International Conference on Quantitative Logic and Soft Computing and 2010 Annual Conference on Fuzzy Information & Engineer |
丛书名称 | Advances in Intelligent and Soft Computing |
图书封面 |  |
描述 | 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, a |
出版日期 | Conference proceedings 2010 |
关键词 | Engineering; Fuzzy; Fuzzy Information; Fuzzy Sets and Systems; Quantification of Software; Quantitative L |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-15660-1 |
isbn_softcover | 978-3-642-15659-5 |
isbn_ebook | 978-3-642-15660-1Series ISSN 1867-5662 Series E-ISSN 1867-5670 |
issn_series | 1867-5662 |
copyright | Springer Berlin Heidelberg 2010 |