| 期刊全称 | Algorithmic Decision Making with Python Resources | | 期刊简称 | From Multicriteria P | | 影响因子2023 | Raymond Bisdorff | | 视频video | | | 发行地址 | 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 | | 学科分类 | International Series in Operations Research & Management Science | | 图书封面 |  | | 影响因子 | .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 |
The information of publication is updating
|
|
发表于 2025-3-21 16:55:38
