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  Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > Models (I.5.1) > Fuzzy Set (I.5.1...)  
 
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  1-10 of 97 Reviews about "Fuzzy Set (I.5.1...)": Date Reviewed
  Fuzzy collaborative forecasting and clustering: methodology, system architecture, and applications
Chen T., Honda K.,  Springer International Publishing, New York, NY, 2019. 100 pp. Type: Book (978-3-030225-73-5)

Collaborative machine learning (ML)--sometimes known as federated ML--has been gaining momentum in the last few years for several in-demand reasons, including privacy-preserving data analysis, sharing complex computations (such as those ...

Jun 14 2021
  Uncertainty management with fuzzy and rough sets: recent advances and applications
Bello R., Falcon R., Verdegay J.,  Springer International Publishing, New York, NY, 2019. 413 pp. Type: Book (978-3-030104-62-7)

This volume contains papers presented at the Second International Symposium on Fuzzy and Rough Sets (ISFUROS 2017). The symposium drew 55 submissions; 30 were accepted for presentation. Extended versions of 20 accepted papers are included in this ...

Jun 3 2021
  Concepts of soft computing: fuzzy and ANN with programming
Chakraverty S., Sahoo D., Mahato N.,  Springer International Publishing, New York, NY, 2019. 195 pp. Type: Book

Soft computing, a branch of artificial intelligence (AI), deals with computations involving uncertainty in complex real-world problems (as opposed to hard computing, which deals with computations involving certainty only encountered in ideal situa...

Apr 29 2020
   Discrete fuzzy measures: computational aspects
Beliakov G., James S., Wu J.,  Springer International Publishing, New York, NY, 2020. 245 pp. Type: Book (978-3-030153-04-5)

Decision-making is a problem-solving activity aimed at reckoning a choice by taking into account a possibly large number of constraints, preferences, beliefs, and costs, among other things. It is a complex discipline that requires sophisticated op...

Mar 9 2020
  A new bio-inspired optimization algorithm based on the self-defense mechanism of plants in nature
Caraveo C., Valdez F., Castillo O.,  Springer International Publishing, New York, NY, 2019. 68 pp. Type: Book (978-3-030055-50-9)

The length of a long review article, this short book describes the details of a recently developed soft computing (that is, a bio-inspired metaheuristic) algorithm, tested for numerical optimization and proven to be powerful after careful implemen...

Nov 14 2019
  Fundamentals of error theory: applications in decision making
Guo K., Liu S.,  Springer International Publishing, New York, NY, 2019. 336 pp. Type: Book (978-3-030027-46-9)

This book reports on error theory work in China. In the context of the book, an error is an outcome that is not in accord with a set of rules that specify the correctness of the system. Normally in a review of a book like this I would structure th...

Apr 30 2019
  A review on the applications of neuro-fuzzy systems in business
Rajab S., Sharma V.  Artificial Intelligence Review 49(4): 481-510, 2018. Type: Article

Neuro-fuzzy systems (NFS) combine two artificial intelligence (AI) techniques, namely neural networks and fuzzy logic systems. This approach takes advantage of the strengths of each technique, while simultaneously overcoming their respective limit...

Jul 19 2018
  Uncertainty and reduction of variable precision multigranulation fuzzy rough sets based on three-way decisions
Feng T., Fan H., Mi J.  International Journal of Approximate Reasoning 85(C): 36-58, 2017. Type: Article

To formalize decision making in information systems with incomplete data, object attributes may be represented as fuzzy sets. Rough sets abstract such systems by two sets that represent the lower and the upper approximation of which objects satisf...

Jul 27 2017
  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 predict. Human de...

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, velocity of data pr...

Aug 12 2015
 
 
 
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