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Multi-criteria decision-making and optimum design with machine learning : a practical guide /

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"As the field of Multi-Criteria 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 inte...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Nguyen, Tien V. T., 1987- (Editor), Vo, Nhut Thi Minh, 1986- (Editor), Truong, Van Chinh (Lecturer) (Editor), Nguyen, Van-Thuc (Lecturer) (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2025.
Edition:First edition.
Subjects:
Multiple criteria decision making.
Multidisciplinary design optimization.
Machine learning.
Décision multicritère.
Optimisation multidisciplinaire (Conception technique)
Apprentissage automatique.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:"As the field of Multi-Criteria 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. This practical guide is intended for researchers, practitioners, and students interested in using Machine Learning and Multiple-Criteria Decision-Making techniques for optimum design"--
Physical Description:1 online resource (xxix, 330 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and indexes.
ISBN:9781032635170
1032635177
9781040230626
1040230628
9781040230640
1040230644