A Fuzzy Model to Optimise the Football Rule Assuring Spectacle, Fair Play, Objectivity and Ethics

Jaime Gil-Lafuente () and Domenico Marino ()
Additional contact information
Jaime Gil-Lafuente: Universitat de Barcelona
Domenico Marino: Un. Mediterranea di Reggio Calabria

A chapter in Artificial Intelligence, Optimization, and Data Sciences in Sports, 2025, pp 275-295 from Springer

Abstract: Abstract The history of football, as in most sports, has always been accompanied by controversy caused by refereeing decisions, based on a set of rules and their interpretation which, rightly or wrongly, has on countless occasions been decisive in the final results of matches in which justice was to be done. Our proposal will provide, in an eminently theoretical way, those modifications to the football regulations that try to maximise the objectives that this sport requires, according to the experts interviewed, such as, among others, spectacle, fair play, objectivity and ethics. Once all the proposals had been compiled from the experts interviewed, we asked them to assess the feasibility and coherence of each of the proposals using real or uncertain numbers. This information, duly aggregated by means of expertons, has allowed us to establish a ranking that determines those changes that are most recommendable at a general level. However, by means of the theory of forgotten effects, we will find to what degree each proposal directly and indirectly affects the objectives sought in football, so that we can really know which changes in the regulations would be a priority. Finally, and in order to avoid too drastic modifications in a short time, we have obtained by means of Pichat’s affinity algorithm those ‘packages’ of necessary changes that make sense to carry them out together, thus being able to implement the improvements to the refereeing regulations gradually and adaptively.

Keywords: Pichat’s algorithm; Cause-effect; Criteria; Neglected effects; Spectacle; Expertise; Experton; Football; Objectives; Optimisation; Rules (search for similar items in EconPapers)
Date: 2025
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:spochp:978-3-031-76047-1_10

Ordering information: This item can be ordered from
http://www.springer.com/9783031760471

DOI: 10.1007/978-3-031-76047-1_10

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().