Mathematical Modelling of Decision Problems: Using the SIMUS Method for Complex Scenarios (Multiple Criteria Decision Making)

Munier, Nolberto

ISBN 10: 3030823490 / ISBN 13: 9783030823498

Edité par Springer, 2022

A propos de cet article

212 pages. 9.25x6.10x0.51 inches. In Stock.

N° de réf. du vendeur x-3030823490

Détails bibliographiques

• Titre: Mathematical Modelling of Decision Problems: Using the SIMUS Method for Complex Scenarios (Multiple Criteria Decision Making)
• Éditeur: Springer
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 3030823490
• ISBN à 13 chiffres: 9783030823498
• Reliure: Paperback
• État de l'article: Brand New
• Poids: 0,33 kilogramme

A propos de ce titre

Synopsis

This book is intended as a guide to and manual on modeling complex problems in Multi Criteria Decision Making (MCDM). It encourages practitioners to consider the practicalities of real-world scenarios when modeling, while at the same time providing tips and examples of how to incorporate these realities into the initial decision matrix. The goal is to help readers build a decision matrix that replicates reality as closely as possible. Once this matrix has been constructed, the Decision Maker (DM) can select from more than a hundred MCDM methods the one that best fits the requirements and conditions of the matrix. The book features cases taken from real-world scenarios, which deal with various fields, aspects, and characteristics, and are solved using the SIMUS (Sequential Interactive Modeling for Urban Systems) method. This book is a valuable tool for practitioners, researchers and students dealing with MCDM problems.

À propos de l?auteur

Nolberto Munier is an Associate Researcher at INGENIO - Polytechnic University of Valencia, Spain. He is a mechanical engineer and holds a Ph.D. in project management. He is also the author of more than 29 technical books, mainly on operations research and project management, and a reviewer of technical articles for several journals. His research focuses on decision-making methods and sensitivity analysis.