Algorithmic Decision Making with Python Resources / International Series in Operations Research & Management Science Bd.324 (PDF)
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The book's third part presents threereal-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, testing for confidence or stability of outranking statements when facing uncertain or solely ordinal criteria significance weights, and tempering plurality tyranny effects in social choice problems. The fifth and last part is more specifically focused on working with undirected graphs, tree graphs and forests. The closing chapter explores comparability, split, interval and permutation graphs.
The book is primarily intended for graduate students in management sciences, computational statistics and operations research. The chapters presenting algorithms for ranking multicriteria performance records will be of computational interest for designers of web recommender systems. Similarly, the relative and absolute quantile-rating algorithms, discussed and illustrated in several chapters, will be of practical interest to public and private performance auditors.
- Autor: Raymond Bisdorff
- 2022, 1st ed. 2022, 346 Seiten, Englisch
- Verlag: Springer Nature Switzerland
- ISBN-10: 303090928X
- ISBN-13: 9783030909284
- Erscheinungsdatum: 29.03.2022
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