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New Methods and Applications in Multiple Attribute Decision Making (MADM)

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This book presents 27 methods of the Multiple Attribute Decision Making (MADM), which are not discussed in the existing books, nor studied in details, using more applications. Nowadays, decision making is one of the most important and fundamental tasks of management as an organizational goal achievement that depends on its quality. Decision making includes the correct expression of objectives, determining different and possible solutions, evaluating their feasibility, assessing the consequences, and the results of implementing each solution, and finally, selecting and implementing the solution. Multiple Criteria Decision Making (MCDM) is sum of the decision making techniques. MCDM is divided into the Multiple Objective Decision Making (MODM) for designing the best solution and MADM for selecting the best alternative. Given that the applications of MADM are mostly more than MODM, wide various techniques have been developed for MADM by researchers over the last 60 years, and the current book introduces some of the other new MADM methods.

Συγγραφείς: Alinezhad Alireza, Khalili Javad
Εκδότης: SPRINGER
Σελίδες: 233
ISBN: 9783030150112
Εξώφυλλο: Μαλακό Εξώφυλλο
Αριθμός Έκδοσης: 1
Έτος έκδοσης: 2019

Chapter 1. SMART method.- Chapter 2. REGIME method.- Chapter 3. ORESTE method.- Chapter 4. VIKOR method.- Chapter 5. PROMETHEE I-II-III methods.- Chapter 6. QUALIFLEX method.- Chapter 7. SIR method.- Chapter 8. EVAMIX method.- Chapter 9. ARAS method.- Chapter 10. Taxonomy method.- Chapter 11. MOORA method.- Chapter 12. COPRAS method.- Chapter 13. WASPAS method.- Chapter 14. SWARA method.- Chapter 15. DEMATEL method.- Chapter 16. MACBETH method.- Chapter 17. ANP method.- Chapter 18. MAUT method.- Chapter 19. IDOCRIW method.- Chapter 20. TODIM method.- Chapter 21. EDAS method.- Chapter 22. PAMSSEM I & II.- Chapter 23. ELECTRE I-II-III methods.- Chapter 24. EXPROM I & II method.- Chapter 25. MABAC method.- Chapter 26. CRITIC Method.- Chapter 27. KEMIRA Method.

Alireza Alinezhad, Islamic Azad University, Qazvin, Iran

Javad Khalili, Islamic Azad University, Qazvin, Iran

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