Algorithmic Decision Making with Python Resources: From Multicriteria Performanc

Description: Algorithmic Decision Making with Python Resources by Raymond Bisdorff Estimated delivery 3-12 business days Format Hardcover Condition Brand New 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 books 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. Author Biography Raymond Bisdorff holds a degree in Business Administration from the University of Liège, Belgium, a Ph.D. in Operations Research (OR) from the University Paris Dauphine and a Ph.D. in Management Sciences from the University of Liège, Belgium. He has been a Full Professor of Applied Mathematics and Computer Science at the University of Luxembourg, where he taught courses on algorithmic decision theory, computational statistics and discrete mathematics. He has served the international OR community as President of the Belgian OR Society (ORBEL), Vice-President of the Association of European OR Societies (EURO) and Vice-President of the International Federation of OR Societies (IFORS). His main interest is in outranking-based decision aiding algorithms for selecting, ranking and rating with multiple incommensurable performance criteria. His major articles have appeared in the European Journal of Operational Research (EJOR), Computer & Operations Research, and the Journal of Multi-Criteria Decision Analysis (JMCDA). Details ISBN 3030909271 ISBN-13 9783030909277 Title Algorithmic Decision Making with Python Resources Author Raymond Bisdorff Format Hardcover Year 2022 Pages 346 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:137855908; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 135.99 USD

Location: Fairfield, Ohio

End Time: 2024-11-29T03:24:28.000Z

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ISBN-13: 9783030909277

Type: NA

Publication Name: NA

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: 2022

Topic: Operations Research, Economics / General, Applied, Discrete Mathematics

Illustrator: Yes

Genre: Mathematics, Business & Economics

Item Weight: 26.1 Oz

Author: Raymond Bisdorff

Item Length: 9.3 in

Item Width: 6.1 in

Book Series: International Series in Operations Research and Management Science Ser.

Format: Hardcover