Multi-Criteria Decision-Making Sorting Methods: Applications To Real-World Problems

Multi-Criteria Decision-Making Sorting Methods: Applications to Real-World Problems focuses on sorting approaches across a wide range of interesting techniques and research disciplines. The applications which have been, and can be, solved by these techniques are more and more important in current real-world decision-making problems. Therefore, the book provides a clear overview of MCDM sorting methods and the different tools which can be used to solve real-world problems by revising such tools and characterizing them according to their performance and suitability for different types of problems. The book is aimed at a broad audience, including computer scientists, engineers, geography and GIS experts, business and financial management experts, environment experts, and all those professional people interested in MCDM and its applications. It will also be useful for teaching MCDM courses in fields such as industrial management, computer science, applied mathematics, and new developments in multi-criteria decision-making. Provides insights into the latest research trends in MCDM and sorting approaches Covers a broad range of tools and methods across a wide range of research disciplines Presents engineers, computer scientists and researchers with effective and efficient resolutions to real-world problems Features JAVA and Python coding examples, along with supplementary datasets in every chapter

• | Author: Luis Martinez Lopez, Alessio Ishizaka, Pavel A. Alvarez-Carrillo, Jindong Qin
• | Publisher: Academic Press
• | Publication Date: Jun 01, 2023
• | Number of Pages: 370 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0323852319
• | ISBN-13: 9780323852319