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Gaia Do Couto A.B.,University of Arkansas at Little Rock | Autran Monteiro Gomes L.F.,Ibmec RJ
Foundations of Computing and Decision Sciences | Year: 2014

This study demonstrates an analysis of executives based on their management competences. The aim of the study is to identify those executives that show a greater strategic alignment with the guidelines set by an organization. The analysis is performed using self-evaluation and corporate evaluation by considering each management competence as a criterion. It makes use of the Dominance principle (i.e., the Dominance based Rough Set Approach, denoted here as DRSA). The use of DRSA permits the inference of decision rules and identifies the revisions that violate that principle. The main advantage for an organization from using this procedure (i.e., DRSA and RST) is offering the organizational decision makers a comprehensive analysis of their executives. As a major result, training programs aligned to the expectations and needs of the organization can be developed and implemented © 2014 by Ayrton Benedito Gaia Do Couto.


Do Couto A.B.G.,University of Arkansas at Little Rock | Gomes L.F.A.M.,Ibmec RJ
2016 6th International Conference on Computers Communications and Control, ICCCC 2016 | Year: 2016

This study demonstrates how to extract essential information from a set of financial and non-financial business indicators, leading to a better understanding of company performance. The use of Rough Set Theory and the Dominance principle associated with the probabilistic relationship between conditions and decisions in decision algorithms, is justified by the possibility of there being uncertain data to yield an essential set of effectively consistent information. The analysis was based on the Brazilian publication Exame Melhores e Maiores 2013 which lists the 500 largest companies in various economic sectors ordered by net sales. The study reveals the importance of broadening the analysis of enterprise indicators, and shows a method of describing conclusions from data without referring to prior and posterior probabilities. © 2016 IEEE.


Passos A.C.,Brazilian Military Institute of Engineering | Teixeira M.G.,Federal University of Rio de Janeiro | Garcia K.C.,The Interdisciplinary Center | Cardoso A.M.,The Interdisciplinary Center | Gomes L.F.A.M.,Ibmec RJ
Computers and Operations Research | Year: 2014

This paper introduces a multi-criteria method for solving classification problems, called TODIM-FSE. This name was chosen because its structure merges characteristics from two different methods: TODIM and FSE. In order to demonstrate TODIM-FSE, a model was constructed aimed at helping potential users to decide upon suitable contingency plans for oil spill situations. The model is envisaged as embedded within SISNOLEO (a Portuguese acronym for An Information System for Oil Spill Planning) which is subsequently described in the article. The fundamentals of this method, several key references and a case study are also provided. © 2013 Elsevier Ltd.


Couto A.B.G.D.,Brazilian Development Bank | Gomes L.F.A.M.,Ibmec RJ
Procedia Computer Science | Year: 2016

This study demonstrates the application of the Dominance principle to a particular case of web (World Wide Web) content search under Multi-criteria approach: searching for "Rio de Janeiro" (City and/or State, in Brazil) followed by other attributes (or criteria). It is known that depending on the content of research that is carried out through a "seeker" ("search engine") on the Internet, the result may fall short of the desirable, in terms of quantity and quality of the sites returned. The Dominance principle, subsequent to treatment of the collected information (unstructured data) on the Internet, aimed at revealing patterns (or logical rules) on a set of information and showed how a web content search can become more effective at a significant universe of information. Other techniques and tools have been applied to mining content on the Web, and as shown in this study. The choice of the Dominance principle associated to Rough Set Theory as Multi-criteria decision technique is due to the possibility of inaccurate data (inconsistent) and the need for treatment of these inaccuracies when processing an information system (data table) under a mathematical perspective, and do not need a history of these data. The use of Rough Set Theory and the Dominance principle associated with the probabilistic relationship between conditions and decisions in decision algorithms, is showed by the possibility of there being uncertain data to yield an essential set of effectively consistent information. © 2016 The Author(s).


Hime Aguiare O.,Jr. | Machado M.A.S.,Ibmec RJ
Procedia Computer Science | Year: 2015

This paper introduces a new approach that makes it possible to globally optimize real valued functions defined on topological manifolds. The functions under study don't need to be differentiable or even continuous, and it is shown that the optimization task may be executed so that candidate points remain on the manifolds that contain their domains, evolving on them during the whole optimization process. Although t h e proposed paradigm i s adequate for use with an extensive family of already established metaheuristics, the algorithm known as Fuzzy Adaptive Simulated Annealing is used in order to exemplify the overall global optimization mechanism. © 2015 The Authors. Published by Elsevier B.V.


Gomes L.F.A.M.,Ibmec RJ | Gonzalez X.I.,University of Buenos Aires
Foundations of Computing and Decision Sciences | Year: 2012

This short communication reviews the role of the TODIM method within behavioral decision theory and presents its genesis. Two important aspects of the method such as generalizing that method towards cumulative prospect theory and the choice of a reference point are further clarified.


Henriques-De-Brito M.,Ibmec RJ | Henriques-De-Brito M.,Probatus Consultoria Ltda
Procedia Computer Science | Year: 2015

By applying the concept of "information ratio" to data published in The 2014 Berkshire Hathaway's Annual Report, this work discuss with quantitative data and equations Warren Buffett's management strategy and financial accomplishment at Berkshire Hathaway. Furthermore, a combined analysis of two time series (information ratio and GDP growth in the United States) assesses if the GDP growth had an impact upon Berkshire's financial performance. Last but not least, this work argues that there is an underlying link between thoroughly investing and simply betting, shedding light on the difference between a 'financial bet' and a 'managerial wager'. © 2015 The Authors. Published by Elsevier B.V.


Barbosa L.C.,Ibmec RJ | Gomes L.F.A.M.,Ibmec RJ
Procedia Computer Science | Year: 2015

This paper proposes a methodology for continuous assessment and improvement of the efficiency and sustainability in a Chemical Industry. This segment was chosen due to its importance both in the international (sixth largest worldwide revenues) and in Brazilian economic scenario (fourth segment in importance in the formation of industrial GDP). An exploratory analysis was performed by applying nonparametric techniques to measure and compare the efficiency and sustainability in a fictitious chemical production plant. The analyzed variables were identified and it was defined the importance (weight) of each of these by using the AHP (Analytic Hierarchy Process) method. It was defined a standard to be used as a benchmark and it was identified the implemented actions (projects) to achieve the proposed targets, using the technique of Goal Programming. The variables were defined considering sustainability and efficiency performance indicators. For sustainability were used as reference the standards defined in "Responsible Care®" program and the efficiency performance indicators were chosen considering some key items used by the market to assess efficiency of a production plant. © 2015 The Authors. Published by Elsevier B.V.


The methods of multi-criteria decision aid are applied to problems of selection, ranking, classifying, and describing alternatives in the presence of multiple criteria, both quantitative and qualitative. This article tackles the problem of using the UTA and UTA-CR methods for determining the utility function of criteria used to evaluate candidates for the undergraduate program in metallurgical engineering in the Fluminense Federal University. After presenting the methods and outlining the problem, an analysis of the results shows that the utility functions of criteria obtained using UTA-CR are closer to decision-maker preferences than those obtained using UTA. It is also shown that, by using UTA-CR, it is not necessary to perform the post-optimization analysis that is required by the UTA method. In other words, implementation of a single linear program leads to results that are better than those obtained using UTA.


Gomes L.F.A.M.,Ibmec RJ | Machado M.A.S.,Ibmec RJ | Rangel L.A.D.,UFF EEIMVR
Procedia Computer Science | Year: 2014

This paper presents an application of the classical TODIM method that is compared against the use of the same approach, but extended through the Choquet Integral to evaluate and recommend alternatives for the destination of the discovery of natural gas reserves in Santos Basin. The application focus on the Mexilhão field, analyzing the uncertainties and risks involved, concerning the regional market (South America) as well as the influence of others (such as Europe and the US). In order to produce a decision, various quantitative as well as qualitative factors such as politics, available technologies, return vs. risk, balance between supply and demand in Brazil, environmental and social impacts, regulatory issues, timing of implementation and alignment with the company's strategies must be taken into account. This leads to a multi-criteria analysis. It can be seen through a non-parametric statistical sign test that there are no significant differences between the results from the two methods. © 2014 Published by Elsevier B.V.

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