| 書目名稱 | Multiple Criteria Decision Aid | | 副標題 | Methods, Examples an | | 編輯 | Jason Papathanasiou,Nikolaos Ploskas | | 視頻video | http://file.papertrans.cn/641/640947/640947.mp4 | | 概述 | Brings readers to a full understanding of multiple criteria decision making methodologies.Provides Python code for all methods.Features guidelines for selecting an appropriate method for specific deci | | 叢書名稱 | Springer Optimization and Its Applications | | 圖書封面 |  | | 描述 | 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.? .Readers will greatly benefit from this book by learn | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Python script; fuzzy number theory; group decision making; mcdm methodologies; ?multiple criteria decisi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-91648-4 | | isbn_softcover | 978-3-030-06272-9 | | isbn_ebook | 978-3-319-91648-4Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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