Exercises
Raymond Bisdorff
Chapter Chapter 15 in Algorithmic Decision Making with Python Resources, 2022, pp 199-206 from Springer
Abstract:
Abstract In this chapter, we propose a series of decision problems of various difficulties which may serve as exercises and exam questions for an Algorithmic Decision Theory or Multiple-Criteria Decision Analysis course. They cover selection, ranking, and rating decision problems.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-90928-4_15
Ordering information: This item can be ordered from
http://www.springer.com/9783030909284
DOI: 10.1007/978-3-030-90928-4_15
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().