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Multiple criteria decision aidmethod...

Papathanasiou, Jason.

Multiple criteria decision aidmethods, examples and Python implementations /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multiple criteria decision aidby Jason Papathanasiou, Nikolaos Ploskas.
Reminder of title:	methods, examples and Python implementations /
Author:	Papathanasiou, Jason.
other author:	Ploskas, Nikolaos.
Published:	Cham :Springer International Publishing :2018.
Description:	xvii, 173 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer science.
Online resource:	https://doi.org/10.1007/978-3-319-91648-4
ISBN:	9783319916484$q(electronic bk.)

Multiple criteria decision aidmethods, examples and Python implementations /
Papathanasiou, Jason.

Multiple criteria decision aidmethods, examples and Python implementations /[electronic resource] :by Jason Papathanasiou, Nikolaos Ploskas. - Cham :Springer International Publishing :2018. - xvii, 173 p. :ill., digital ;24 cm. - Springer optimization and its applications,v.1361931-6828 ;. - Springer optimization and its applications ;v. 3..

1. TOPSIS -- 2. VIKOR -- 3. PROMETHEE -- 4. SIR -- 5. AHP -- 6. Goal Programming -- Appendix.

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, information systems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research. Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil) Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium) This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France)

ISBN: 9783319916484$q(electronic bk.)

Standard No.: 10.1007/978-3-319-91648-4doiSubjects--Topical Terms:

199325
Computer science.

LC Class. No.: QA76 / .P373 2018

Dewey Class. No.: 004

Multiple criteria decision aidmethods, examples and Python implementations /
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