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Mathematical modelling of decision p...
~
Munier, Nolberto.
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Mathematical modelling of decision problems = using the SIMUS method for complex scenarios /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Mathematical modelling of decision problems/ by Nolberto Munier.
Reminder of title:
using the SIMUS method for complex scenarios /
Author:
Munier, Nolberto.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
xvi, 196 p. :ill., digital ;24 cm.
[NT 15003449]:
1. MCDM Methods: Modelling, Feasibility, and Sensitivity Analysis -- 2. Linear Programming and the SIMUS Method -- 3. Analysis of Facts: Issues and Questions Answered in MCDM Practice -- 4. Analysis of Questions Normally Formulated on MCDM -- 5. Putting SIMUS to Work.
Contained By:
Springer Nature eBook
Subject:
Multiple criteria decision making - Mathematical models. -
Online resource:
https://doi.org/10.1007/978-3-030-82347-4
ISBN:
9783030823474
Mathematical modelling of decision problems = using the SIMUS method for complex scenarios /
Munier, Nolberto.
Mathematical modelling of decision problems
using the SIMUS method for complex scenarios /[electronic resource] :by Nolberto Munier. - Cham :Springer International Publishing :2021. - xvi, 196 p. :ill., digital ;24 cm. - Multiple criteria decision making,2366-0031. - Multiple criteria decision making..
1. MCDM Methods: Modelling, Feasibility, and Sensitivity Analysis -- 2. Linear Programming and the SIMUS Method -- 3. Analysis of Facts: Issues and Questions Answered in MCDM Practice -- 4. Analysis of Questions Normally Formulated on MCDM -- 5. Putting SIMUS to Work.
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.
ISBN: 9783030823474
Standard No.: 10.1007/978-3-030-82347-4doiSubjects--Topical Terms:
784375
Multiple criteria decision making
--Mathematical models.
LC Class. No.: HD30.23 / .M85 2021
Dewey Class. No.: 658.4030015118
Mathematical modelling of decision problems = using the SIMUS method for complex scenarios /
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1. MCDM Methods: Modelling, Feasibility, and Sensitivity Analysis -- 2. Linear Programming and the SIMUS Method -- 3. Analysis of Facts: Issues and Questions Answered in MCDM Practice -- 4. Analysis of Questions Normally Formulated on MCDM -- 5. Putting SIMUS to Work.
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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.
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EB HD30.23 .M85 2021
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