Description: About this Item The item is a book Paperback The Author Name is Raymond Bisdorff The Title is Algorithmic Decision Making with Python Resources : From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs : 324 Condition New Other Comments Pages Count - 386. Binding type - Perfect. Content Language - English Category - BUSINESS & ECONOMICS / Operations Research MATHEMATICS / Graphic Methods MATHEMATICS / Applied Product Description - 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, 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. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 166665974
Price: 120.64 USD
Location: US
End Time: 2024-11-10T19:25:06.000Z
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Fiction/Non-Fiction: Non-Fiction
Genre/Subject: BUSINESS ECONOMICS / Operations Research
Brand: International Series in Operations Research & Management Sci
Weight: 0.54
Style: NA
Title: Algorithmic Decision Making with Python Resources From Multicri
Release Title: Algorithmic Decision Making with Python Resources From Multicri
Record Grading: New
Sleeve Grading: New
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Film/TV Title: Algorithmic Decision Making with Python Resources From Multicr
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Binding Type: Perfect
Item Height: 20.32
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Book Title: Algorithmic Decision Making with Python Resources : From Multicriteria Performance Records to Decision Algorithms Via Bipolar-Valued Outranking Digraphs
Number of Pages: Xxxvii, 346 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Topic: Operations Research, Economics / General, Applied, Discrete Mathematics
Illustrator: Yes
Genre: Mathematics, Business & Economics
Item Weight: 20.7 Oz
Item Length: 9.3 in
Author: Raymond Bisdorff
Item Width: 6.1 in
Book Series: International Series in Operations Research and Management Science Ser.
Format: Trade Paperback
