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Louise Reader

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Description
The book aims to draw attention to the weaknesses in Multi-Criteria Decision-Making (MCDM) methods and provide insights to improve the decision-making process. By addressing these weaknesses, it seeks to enhance the accuracy and effectiveness of MCDM methods in selecting the best alternatives in various fields. The book covers popular MCDM methods such as TOPSIS, ELECTRE, VIKOR, and PROMETHEE. It compares traditional methods with the proposed modified Human Development Index (HDI) data using Python code examples. The target audience for the book includes computer scientists, engineers, business, and financial management professionals, as well as anyone interested in MCDM and its applications.
Pages
156 pages
Collection
n.c
Parution
2024-08-21
Marque
Peter Lang GmbH, Internationaler Verlag der Wissenschaften
EAN papier
9783631913345
EAN PDF
9783631913376

Informations sur l'ebook
Nombre pages copiables
31
Nombre pages imprimables
31
Taille du fichier
10824 Ko
Prix
24,69 €
EAN EPUB
9783631923412

Informations sur l'ebook
Nombre pages copiables
31
Nombre pages imprimables
31
Taille du fichier
5304 Ko
Prix
24,69 €

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