2016/04/11 by Carlos Leandro, Leandro, Carlos, Luís Monteiro +1
Computer Science · Decision Sciences · #03B52 #18A30 #18C30 #Advanced Algebra and Logic #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Multi-Criteria Decision Making #Rough Sets and Fuzzy Logic
paper · pdf · doi:10.48550/arxiv.1604.03098
openalex publication_date 2016/04/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The development of machine learning in particular and artificial intelligent in general has been strongly conditioned by the lack of an appropriated framework to specify and integrate learning processes, data transformation processes and data models. In this work we extend traditional algebraic specification methods to this type of framework. Limits and colimits of diagrams are universal constructions fundamental in different mathematical domains importance in semantic modeling. The aim of our work is to study the possibility of extending these algebraic frameworks to the specification of vague structures and to the description of vague patterns on data.