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Multiple Criteria Decision Aid: Methods, Examples and Python Implementations

Multiple Criteria Decision Aid: Methods, Examples and Python Implementations

Hardcover

Series: Springer Optimization and Its Applications, Book 136

Business GeneralApplicationsProgramming

ISBN10: 3319916467
ISBN13: 9783319916460
Publisher: Springer Nature
Published: Sep 27 2018
Pages: 173
Weight: 0.99
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English
Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations. Comprehensive numerical examples are also discussed for each method in conjunction with easy to follow Python code. Extensions to multiple criteria decision making algorithms such as fuzzy number theory and group decision making are introduced and implemented through Python as well. Readers will learn how to implement and use each method based on the problem, the available data, the stakeholders involved, and the various requirements needed. Focusing on the practical aspects of the multiple criteria decision making methodologies, this book is designed for researchers, practitioners and advanced graduate students in the applied mathematics, informationsystems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research.

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