How Fuzzy Concepts Contribute to Machine Learning is popular PDF and ePub book, written by Mahdi Eftekhari in 2022-02-15, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, How Fuzzy Concepts Contribute to Machine Learning can be Read Online from any device for your convenience.
How Fuzzy Concepts Contribute to Machine Learning Book PDF Summary
This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how fuzzy and hesitant fuzzy concepts can be applied to data uncertainty modeling as well as being used to solve multi-criteria decision making challenges raised in machine learning problems. Using the multi-criteria decision making framework, the book shows how different algorithms, rather than human experts, are employed to determine membership degrees. The book is expected to bring closer the communities of pure mathematicians of fuzzy sets and data scientists.
Detail Book of How Fuzzy Concepts Contribute to Machine Learning PDF
- Author : Mahdi Eftekhari
- Release : 15 February 2022
- Publisher : Springer Nature
- ISBN : 9783030940669
- Genre : Technology & Engineering
- Total Page : 170 pages
- Language : English
- PDF File Size : 21,8 Mb
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