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

    €143.75
    ISBN: 9780323852319
    AuthorMartinez Lopez, Luis (Full Professor, De
    SubAuthor1Ishizaka, Alessio (Head, Information Sys
    SubAuthor2Alvarez-Carrillo, Pavel A. (Associate Pr
    SubAuthor3Qin, Jindong (Associate Professor, Wuhan
    Pub Date01/06/2023
    BindingPaperback
    Pages370
    AvailabilityCurrently out of stock. If available, delivery is usually 5-10 working days.
    Availability: Out of Stock

    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.

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    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.