Multi-Criteria Decision-Making Sorting Methods
Applications to Real-World Problems
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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.
Key Features
- 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
Readership
Researchers, professionals, and graduate students in computer science & engineering, and applied mathematics
Table of Contents
- 1. Multi-Criteria Decision-Making (MCDM)
2. Sorting problem and MCDM methods
3. MCDM Sorting Methods
AHPSort: A sorting method based on AHP
3.1.1 AHP
3.1.2 AHPSort and extensions
3.2 ANPSort: A sorting method based on ANP
3.2.1 ANP
3.2.2 ANPSort
3.3 FlowSort: A sorting method based on the PROMETHEE
3.3.1 PROMETHEE
3.3.2 FLowSort and extensions
3.4 UTADIS: a multi criteria classification method
3.4.1 UTADIS
3.4.2 PREFDIS: decision support system for sorting problems
3.4.3 Clustering and UTADIS
3.4.4 UTA GMS -GROUP
3.5 ELECTRE TRI: A sorting method based on ELECTREE
3.5.1 Electre III
3.5.2 Electre Tri and extensions
TOPSIS-Sort: A sorting method based on TOPSIS
3.6.1 TOPSIS
3.6.2 TOPSIS-Sort and extensions
3.7 VIKORSort: A sorting method based on VIKOR
3.7.1 VIKOR
3.7.2 VIKORSort
3.8 CODAS-SORT: A new CODAS based method for sorting problems
3.8.1 CODAS
3.8.2 CODAS-Sort
3.9 MACBETHSort: a multiple criteria decision aid procedure for sorting problems
3.9.1 MACBETH
3.9.2 MACBETHSort
3.10 DEASort: Data envelopment analysis based on sorting
3.10.1 DEA
3.10.2 DEASort
4. Fuzzy Sets and MCDA Sorting
4.1 Fuzzy Sets
4.2 Fuzzy MCDA Sorting methods
4.3 MCDA Fuzzy Sorting approaches
5. Analysis of MCDA Sorting methods
5.1 Suitability and necessity
5.2 Characterization
6. Applications of MCDA Sorting
6.1 GIS aware decisions
6.2 Screening processes
6.3 Real-world case studies
7. Future Research and Concluding Remarks
7.1 New trends on MCDA Sorting
7.2 Conclusions
Product details
- No. of pages: 370
- Language: English
- Copyright: © Academic Press 2023
- Published: December 1, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780323852319
About the Authors
Luis Martinez Lopez
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 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.
Affiliations and Expertise
Full Professor, Department of Computer Science, University of Jaen, Jaen, Andalucia, Spain
Alessio Ishizaka
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.
Affiliations and Expertise
Head, Information Systems, Supply Chain and Decision-making Department, Neoma Business School, Reims, Rouen, Paris, France; Full Professor, Decision Analysis, Neoma Business School, Reims, Rouen, Paris, France
Pavel Alvarez-Carrillo
Dr. Pavel Anselmo Alvarez-Carrillo is associate professor in the Department of Economics and Management at the Autonomous University of Occident, Culiacán, 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.
Affiliations and Expertise
Associate Professor, Autonomous University of Occident, Culiacán, Sinaloa, México
Jindong Qin
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.
Affiliations and Expertise
Associate Professor, School of Management, Wuhan University of Technology, Wuhan, 430070, Hubei, China
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