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

This book presents 27 methods of the Multiple Attribute Decision Making (MADM), which are not discussed in existing books, nor studied in details, using various applications. Nowadays, decision making is one of the most important and fundamental tasks of management as an organizational goal achievem...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Alinezhad, Alireza (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Khalili, Javad (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:International Series in Operations Research & Management Science, 277
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:This book presents 27 methods of the Multiple Attribute Decision Making (MADM), which are not discussed in existing books, nor studied in details, using various 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.
Φυσική περιγραφή:XXIV, 233 p. 114 illus., 2 illus. in color. online resource.
ISBN:9783030150099
ISSN:0884-8289 ;
DOI:10.1007/978-3-030-15009-9