多目标决策支持：方法、例子和Python实现

English | PDF,EPUB | 2018 | 182 Pages | ISBN : 3319916467 | 11.49 MB

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)

本书通过使用Python的理论和计算技术，详细介绍了多种标准决策辅助（MCDA）方法。现有的方法以逐步学习的方式进行了详细介绍。TOPSIS、VIKOR、PROMETHEE、SIR、AHP、目标规划及其变体的理论背景也得到了阐述。每个方法都配有易于跟随的Python代码和详细的综合数值例子。本书还通过Python引入并实施了多标准决策辅助算法的扩展，如模糊数论和群体决策。 本书旨在应用于应用数学、信息系统、运筹学及商业管理等领域的研究人员、从业者以及高级研究生，并适用于其他致力于跨学科研究的工程师与科学家。通过学习和应用各种MCDM/A方法，读者将大获裨益。（阿德利·泰西特·阿尔梅达，巴西联邦大学决策系统与信息发展中心） 促进多标准决策辅助的发展和应用对于确保更多伦理且可持续性的决定至关重要。本书在此目标上作出了巨大的贡献。它完美地融合了理论和实践知识，为潜在用户及研究人员提供了某些最知名方法的基础知识以及进行比较并实际运用所需的技术工具。（让-皮埃尔·布兰斯，比利时布鲁塞尔自由大学） 本书旨在使决策支持领域的研究者、从业者和学生熟悉多标准决策辅助算法。所提出的方案具有原创性，因为它展示了从理论到Python实践实现的方法选择，并提供了一个详细的例子。这将有助于学习这些技术，促进它们在应用中的有效传播。（皮埃尔·梅耶尔，法国IMT Atlantique实验室STICC、布鲁日大学）

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