Matching system for Animal-assisted therapy based on the Levenshtein and Gale-Shapley algorithms

This current research is based on the implementation of an algorithm that assigns pets, cats, or dogs to persons with depressive disorders such as low self-esteem. We found that even though different institutions have made the assignments of pets to patients, we were not able to found one that uses an IT tool for this task. Because of this situation, we decided to adapt to the well-known Gale-Shapley algorithm that has been used successfully in different situations in which it needs a perfect match between two parties. The results obtained have been validated by experts in the field of animal and person psychology. Because the Gale-Shapley algorithm needs a preference array between the parts involved and due that an animal cannot establish this set of preferences, we aimed to use a string similarity-based algorithm for obtaining preferences arrays based on the behavioral traits of an animal or person.

Name thesis:degree_name

Ingeniero de sistemas

Level thesis:degree_level

Título Profesional

Discipline thesis:degree_discipline

Ingeniería de sistemas

Grantor dc:publisher

Universidad de Lima

Year dc:date.issued

2020

Author dc:creator

• Gutierrez Rondon, Carmen Giuliana

Advisor dc:contributor.advisor

• Gutiérrez Cárdenas, Juan Manuel

• Terapia con animales de compañía
• Animales de compañía
• Algoritmos computacionales
• Pet therapy
• Pets
• Computer algorithms

Statement dc:rights

• info:eu-repo/semantics/restrictedAccess

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/20.500.12724/12723

OAI identifier oai:identifier

oai:repositorio.ulima.edu.pe:20.500.12724/12723