期刊全稱 | Algorithmic Decision Making with Python Resources | 期刊簡(jiǎn)稱 | From Multicriteria P | 影響因子2023 | Raymond Bisdorff | 視頻video | http://file.papertrans.cn/153/152917/152917.mp4 | 發(fā)行地址 | Provides first hand step-by-step tutorials for solving didactical and practical decision problems with multiple criteria.Introduces main objects available in the Digraph3 collection of Python3 modules | 學(xué)科分類 | International Series in Operations Research & Management Science | 圖書封面 |  | 影響因子 | .This book describes Python3 programming resources for implementing decision aiding algorithms in the context of a bipolar-valued outranking approach. These computing resources, made available under the name Digraph3, are useful in the field of Algorithmic Decision Theory and more specifically in outranking-based Multiple-Criteria Decision Aiding (MCDA)...The first part of the book presents a set of tutorials introducing the Digraph3 collection of Python3 modules and its main objects, such as bipolar-valued digraphs and outranking digraphs. In eight methodological chapters, the second part illustrates multiple-criteria evaluation models?and decision algorithms. These chapters are largely problem-oriented and demonstrate how to edit a new multiple-criteria performance tableau, how to build a best choice recommendation, how to compute the winner of an election and how to make rankings or ratings using incommensurable criteria. ..The book’s third part presents three real-world decision case studies, while the fourth part addresses more advanced topics, such as computing ordinal correlations between bipolar-valued outranking digraphs, computing kernels in bipolar-valued digraphs, testi | Pindex | Textbook 2022 |
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