Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide

By: and and and

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

Synopsis
As multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is a comprehensive resource that bridges the gap between ML and MCDM. It offers a practical approach by demonstrating the application of ML and MCDM algorithms to real-world problems. Through case studies and examples, it showcases the effectiveness of these techniques in optimal design. The book also provides a comparative analysis of conventional MCDM algorithms and machine learning techniques, enabling readers to make informed decisions about their use in different scenarios. It also delves into emerging trends, providing insights into future directions and potential opportunities. The book covers a wide range of topics, including the definition of optimal design, MCDM algorithms, supervised and unsupervised ML techniques, deep learning techniques, and more, making it a valuable resource for professionals and researchers in various fields. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is designed for professionals, researchers, and practitioners in engineering, computer science, sustainability, and related fields. It is also a valuable resource for students and academics who wish to expand their knowledge of machine learning applications in multicriteria decision-making. By offering a blend of theoretical insights and practical examples, this guide aims to inspire further research and application of machine learning in multidimensional decision-making environments.
Copyright:
2025

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781040230640
Related ISBNs:
9781040230626, 9781032635088, 9781032635170
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
selection and editorial matter, Van Thanh Tien Nguyen, Nhut T.M. Vo, Van Chinh Truong, and Van-Thuc Nguyen
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Technology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Van Thanh Nguyen
Edited by:
Nhut T.M. Vo
Edited by:
Van Chinh Truong
Edited by:
Van-Thuc Nguyen

Reviews

No Rating Yet