http://repositorio.ufc.br/handle/riufc/22276 2026-06-11T19:21:41Z 2026-06-11T19:21:41Z Costa, Dario Filipe da Silva http://repositorio.ufc.br/handle/riufc/82813 2025-12-04T13:11:43Z 2025-01-01T00:00:00Z

Título: Aplicação de heurísticas ao K-MIS Autor(es): Costa, Dario Filipe da Silva Tipo: TCC

2025-01-01T00:00:00Z Barreto, Maria Aline Freitas http://repositorio.ufc.br/handle/riufc/72439 2023-05-23T15:15:56Z 2020-01-01T00:00:00Z

Título: Um estudo sobre análise de eficiências usando análise envoltória de dados sob ambiente difuso Autor(es): Barreto, Maria Aline Freitas Abstract: Among the methodologies used to measure productive efficiency, Data Envelopment Analysis (DEA) is one of the most commonly used not only in the literature but also in real world applications. Therefore, a deeper study of this methodology becomes a crucial part in helping Decision Making Unit (DMUs) to achieve productive efficiency. Classical DEA methods allow us to measure efficiency, for the set being analysed, and classify the DMUs as either efficient or as inefficient, while also allowing us to verify which efficient cases can be used as reference for the inefficent cases. The use of Classic DEA models require precise data for both input and output values. However, input and output values in the real world are usually imprecise, approximate, or vague. One of the objectives of this work is to obtain a deeper knowledge of the classical DEA methods and Fuzzy Data Envelopment Analysis (FDEA). Another objective is to report a comparitive study between the classic DEA methods and the FDEA methods by applying them to a set containing data from Brazil’s Northeast ports. Our results showed that ports classified as efficient by classical DEA methods, including the ones used as reference within the set, are not always classified as efficient by FDEA methods. Tipo: TCC

2020-01-01T00:00:00Z Monte, Lucas Gonçalves http://repositorio.ufc.br/handle/riufc/65678 2022-12-06T10:37:49Z 2020-01-01T00:00:00Z

Título: Escala Likert difusa: um estudo sobre diferentes abordagens Autor(es): Monte, Lucas Gonçalves Abstract: To analyze human attitudes is one of the key-points in Psychometric Scales. Being the most known and used, the Likert Scale is commonly presented as a five-point or four-point rating scale ranging from “strongly disagree” to “strongly agree”. The importance of the scale is based on the necessity to collect the ideas of certain groups for the decision making. Therefore, psychometric scales include the uncertainty that works on the subjectivity of individual answers. The Likert Scale brings some weakness to this evaluation process by losing information about the uncertainty of the answers provided. So, an approach of the Likert Scale incorporating the Fuzzy Sets Theory - considering the uncertainty and/or the ambiguity in the answer of the interviewed - make the discussion relevant. Towards that, in this paper are shown some literature strategies that seek to improve the Classic Likert Scale by the Fuzzy Sets Theory. In order to confirm if the Fuzzy Likert Scales are more satisfying than Classic Likert Scale, tests are fulfilled in the previous considerations seeing hypothetical and real cases, evaluating metrics such as: mean, standard deviation and agreement among the answers. So, bringing reliability to the areas that use the method in order to be more assertive on its analizes and considering best what the group studied indeed tried to show/inform. Tipo: TCC

2020-01-01T00:00:00Z Sousa, Gabriel Hellen de http://repositorio.ufc.br/handle/riufc/42201 2019-06-03T12:06:34Z 2018-01-01T00:00:00Z

Título: Uma abordagem de programação matemática para o número de envoltória de um grafo Autor(es): Sousa, Gabriel Hellen de Abstract: The hull number of an undirected graph G = (V;E), where V is the set of vertices and E is the set of edges, consists of the smallest number of vertices that, initially contaminated, can iteratively contaminate the whole graph. The types of contamination (convexity) studied in this work were geodetic, P3, and P3∗. Determining the hull number is an NP-hard problem, even for bipartite graphs. In this work, mathematical models and heuristics for the problem were studied and implemented. To solve the models, the CPLEX was used, coupled with the C ++ programming. The same language was used to code the heuristic. The graphs used as test instances were bipartite and arbitrary graphs, created from two parameters: the number of vertices and a probability factor to define the existence of edges. The results presented by each model and the heuristic, related to the execution time and solution quality, were stored and compared. Tipo: TCC

2018-01-01T00:00:00Z