
Multi-Criteria Decision-Making Sorting Methods
Applications to Real-World Problems
- 1st Edition - April 28, 2023
- Imprint: Academic Press
- Authors: Luis Martinez Lopez, Alessio Ishizaka, Jindong Qin, Pavel Anselmo Alvarez-Carrillo
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 2 3 1 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 5 2 3 2 - 6
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 on… Read more
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Request a sales quoteMulti 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.
- Provides insights into the latest research trends in MCDM sorting methods and fuzzy-based approaches
- Focuses on the application of MCDM sorting methods to GIS based problems
- Presents engineers, computer scientists and researchers with effective and efficient solutions to real-world problems
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
- Edition: 1
- Published: April 28, 2023
- No. of pages (Paperback): 278
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323852319
- eBook ISBN: 9780323852326
LM
Luis Martinez Lopez
AI
Alessio Ishizaka
JQ
Jindong Qin
PA