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

Product Description 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. Review Provides advanced coverage of MCDM sorting methods and tools used to solve real-world problems From the Back Cover Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. The importance and success of MCDM are due to the fact that they have successfully dealt with different types of problematics for supporting decision makers such as choice, ranking and sorting, description. Although each of the different problematics in MCDM is important, Multi-Criteria Decision-Making Sorting Methods: Applications to Real-World Problems will focus 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. The book may also be useful for teaching MCDM courses in fields such as industrial management, computer science, and applied mathematics, as new developments in multi-criteria decision making. About the Author Prof. Luis Martínez López received MSc and PhD degrees in Computer Sciences, both from the University of Granada, Spain. Currently, he is Full Professor in the Department of Computer Science at the University of Jaén. His current research interests are fuzzy decision making, linguistic preference modelling, fuzzy systems, decision support systems, personalized marketing, computing with words and recommender systems. He has been the principle researcher in 16 R&D projects and has published more than 145 papers, as well as 33 book chapters. He is Editor in Chief of the International Journal of Computational Intelligence Systems and an Associate Editor of the journals IEEE Transactions on Fuzzy Systems and Information Fusion. He received the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2008 and 2012. He is also a Visiting Professor at the University of Technology Sydney, University of Portsmouth (Isambard Kingdom Brunel Fellowship Scheme), and at the Wuhan