Algorithmic Decision Making with Python Resources
- CategoryOther
- TypeE-Books
- LanguageEnglish
- Total size61 MB
- Uploaded Byfreecoursewb
- Downloads76
- Last checkedApr. 08th '22
- Date uploadedApr. 05th '22
- Seeders 8
- Leechers4
Algorithmic Decision Making with Python Resources 
https://DevCourseWeb.com
English | 2022 | ISBN: 3030909271 | 366 Pages| pdf, epub | 60.97 MB
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 modelsĀ and decision algorithms. These chapters are largely problem-oriented and nstrate 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.
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- Bisdorff2022BookAlgorithmicDecisionMakingWithP(2).pdf (9.9 MB)
- Bisdorff2022BookAlgorithmicDecisionMakingWithP.epub (51.1 MB)
- Bonus Resources.txt (0.4 KB)
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