Neuware - 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. Even though, each of the different problematics in MCDM is important, Multi-Criteria Decision-Making Sorting Methods 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.

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Detalles bibliogr�ficos

T�tulo: Multi-Criteria Decision-Making Sorting Methods : Applications to Real-World Problems
Editor: Elsevier Science & Technology Mai 2023
Fecha de publicaci�n: 2023
Idioma: Ingl�s
ISBN 10: 0323852319
ISBN 13: 9780323852319
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 229�mil�metros de ancho por 152 de alto por 0 de largo
Peso: 450 gramos

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Sinopsis

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. Even though, each of the different problematics in MCDM is important, Multi-Criteria Decision-Making Sorting Methods 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.

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Prof. Luis Mart�nez L�pez 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 Ja�n. 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 230 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, Information Science, Knowledge Based Systems and Information Fusion. He received the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2008 and 2012 and the IFSA Fellow 2021. He is also a Visiting Professor at the University of Technology Sydney, University of Portsmouth (Isambard Kingdom Brunel Fellowship Scheme), and at the Wuhan University of Technology (Chutian Scholar). He has also been recognized as a Highly Cited Researcher 2017-2022 in Computer Science according to the Web of Science.

Prof. Alessio Ishizaka is Head of the Information Systems, Supply Chain and Decision-making Department and Full Professor of Decision Analysis, at Neoma Business School, France. He was research lead and deputy director of the Centre of Operational Research and Logistics at the University of Portsmouth. He received his PhD from the University of Basel (Switzerland) and worked successively for the University of Exeter (UK), University of York (UK), and Audencia Grande Ecole de Management Nantes (France). He has been a visiting professor at several universities in Italy, France and Germany. His research is in the area of decision analysis, where he has published more than 90 papers. He is regularly involved in large European funded projects and he has been the chair, co-organiser, and guest speaker of several conferences on this topic. He has written a key textbook Multicriteria Decision Analysis: Methods and Software.

Dr. Jindong Qin is Associated Professor in Wuhan University of Technology and Director of Research Center for Data Science and Intelligent Decision Making. His current research interests are Multiple Criteria Decision Making, Sustainable (Green) Supply Chain Management, Fuzzy Group Decision Making, Risk Analysis, Robust Optimization, Uncertain DEA. He has been main researcher in 3 R&D projects and has published more than 85 papers in journals indexed by the SCI.

Dr. Pavel Anselmo Alvarez-Carrillo is associate professor in the Department of Economics and Management at the Autonomous University of Occident, Culiac�n, Sinaloa, Mexico. He holds a Ph.D. in Management Science from the University of Occident. He completed both B.Sc. and M.Sc. in Applied informatics from the Autonomous University of Sinaloa, Mexico. Alvarez’s research interests include Group Decision Support Systems, Multicriteria Decision Analysis and Data Mining. Alvarez completed a Postdoctoral project, on Multicriteria Group Decision Making, at the Federal University of Pernambuco, Recife, Brazil. He served as Academic Staff of EurekaSD from Erasmus Mundus at Ulster University.

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