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Pedrycz, Witold
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Computational intelligence and quantitative software engineering
Pedrycz W., Succi G., Sillitti A., Springer Publishing Company, Incorporated, New York, NY, 2016. 207 pp. Type: Book (978-3-319259-62-8)
An overview of the current state of the art in the use of computational intelligence in software engineering is presented in this book. It is important to note that the term computational intelligence as used by the editors refers to t...
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Mar 25 2016
Granular computing and decision-making: interactive and iterative approaches
Pedrycz W., Chen S., Springer Publishing Company, Incorporated, New York, NY, 2015. 368 pp. Type: Book (978-3-319168-28-9)
Decision theory is concerned with the descriptive and prescriptive analyses of human decision making. Such decision making is of course very difficult given partial or inaccurate information, but it is also difficult to model and predi...
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Nov 5 2015
Information granularity, big data, and computational intelligence
Pedrycz W., Chen S., Springer Publishing Company, Incorporated, New York, NY, 2014. 444 pp. Type: Book (978-3-319082-53-0)
Big data (BD) is the hottest topic in current research on data science and engineering. In a nutshell, BD refers to data collections that challenge present technologies and methodologies in terms of the four Vs: volume of data, velocit...
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Aug 12 2015
Social networks: a framework of computational intelligence
Pedrycz W., Chen S., Springer Publishing Company, Incorporated, New York, NY, 2013. 450 pp. Type: Book (978-3-319029-92-4)
This interesting book is about social networks (well beyond the expected Facebook and Twitter) and the many tools from the world of computational intelligence that provide a framework for analyzing and drawing conclusions from them. Th...
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Jul 2 2014
Handbook of granular computing
Pedrycz W., Skowron A., Kreinovich V. (ed), Wiley-Interscience, New York, NY, 2008. 1148 pp. Type: Book (9780470035542)
What is granular computing? Surprisingly, this book does not provide a precise mathematical definition, but instead gives us 52 papers that aim to illustrate the concepts of granular computing from many different angles. Several intuit...
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Mar 23 2009
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