Fuzzy Sets Based Methods And Techniques For Modern Analytics


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Fuzzy Sets-Based Methods and Techniques for Modern Analytics


Fuzzy Sets-Based Methods and Techniques for Modern Analytics

Author: Ali Ebrahimnejad

language: en

Publisher: Springer

Release Date: 2018-02-23


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The book offers a comprehensive, practice-oriented introduction to the field of fuzzy mathematical programming (FMP) as key topic of modern analytics. FMP plays a fundamental role in dealing with a varied range of problems, such as those concerning smart cities, sustainability, and renewable energies. This book includes an introduction to the basic concepts, together with extensive information on the computational-intelligence-based optimization models and techniques that have been used to date. Special emphasis is given to fuzzy transportation problems. The book is a valuable resource for researchers, data scientists and practitioners dealing with computational-intelligence-based optimization models for analytics.

Advances in Fuzzy Logic Systems


Advances in Fuzzy Logic Systems

Author: Elmer Dadios

language: en

Publisher: BoD – Books on Demand

Release Date: 2023-12-20


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Fuzzy logic systems have been a hot topic in the scientific and academic community for more than half a century. The idea of making machines behave and make decisions like humans do is astounding. The development and implementation of fuzzy logic systems can be seen in various real physical applications in daily human life. The methods employed using fuzzy logic have resulted in innovative technologies. This book provides insights into understanding the principles and concepts behind the advances of fuzzy logic systems. It presents ideas concerning fuzzy logic systems and their technological applications. The book is arranged into two sections on theories and foundations of fuzzy logic systems and implementations of fuzzy logic systems in service to the community.

Data Envelopment Analysis with R


Data Envelopment Analysis with R

Author: Farhad Hosseinzadeh Lotfi

language: en

Publisher: Springer

Release Date: 2019-07-23


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This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how to use them to solve optimization problems with R. Further, it discusses the main advantages of R in optimization problems, and provides R codes based on real-world data sets throughout. Offering a comprehensive review of DEA and fuzzy DEA models and the corresponding R codes, this practice-oriented reference guide is intended for masters and Ph.D. students in various disciplines, as well as practitioners and researchers.