Alejandro Martins

Federal University of Pelotas | UFPEL · Department of Electronic Engineering

A Paraiba tem se destacado nos ultimos anos como celeiro de atletas que iniciaram suas carreiras nas escolinhas de futebol e se destacaram atuando por grandes clubes do Brasil e do exterior, sendo posteriormente convocados para a selecao brasileira. O presente ¬ influencias que as escolinhas de futebol exerceram na carreira dos atletas paraibanos q...

Este artigo apresenta uma proposta de desenvolvimento de um sistema especialista probabilístico como forma de apoiar a análise dos planos de negócio de empresas de tecnologia, por parte dos consultores especializados, estruturados para fim de ingresso em análise de planos de negócio, como forma de julgar novos projetos de empresas, gerando como res...

Working Capital Management is concerned with the short term decisions regarding current assets and current liabilities. Although being related with the short term, the decisions must take into account the overall strategy of the firm and how effectively they are implemented at the operational level. The satisfaction of the goals and the measurement...

The UNL infrastructure aims to overcome the language barrier on the Internet. At the same time, distance learning (DL) is becoming the best way to promote the knowledge diffusion across countries. However, the distance learning process still presents some obstacles to be overcome. The UNL can help to reduce particularly those problems and to provid...

The main purpose of this paper is to present an Object Oriented Analysis (OOA) of a firm and its accounting and financial environments for the implementation of a working capital management system. The object oriented analysis has been designed so that it can be used by different types and sizes of companies, (e.g., industrial, commercial or servic...

alejandro,pacheco}@eps.ufsc.br RESUMO Este artigo tem como objetivo apresentar as principais características dos atuais sistemas operacionais e discutir como a aplicação de conceitos de inteligência artificial pode contribuir na concepção de uma nova geração de sistemas operacionais. ABSTRACT This paper describes a basic review of today operating s...

Case-Based Reasoning (CBR) is an Artificial Intelligence (AI) paradigm, in which new problems are solved by storing, retrieving, and adapting solutions to previously encountered problems. The expert task of prescribing a nutritional program as therapy for a given disorder, individualized for each patient, reuses past experiences to generate the bes...

This paper describes and compares the development of two organizational structures to represent medical decision making strategies. We generate the solution to a new problem by applying a previous solution from a medical record in a CBR system that performs decision-making about hypertension drug therapy. The case libraries are structured in accord...

This paper presents a case-based reasoning approach for capturing and reusing experiential knowledge on software measurement programs in industry. A representation structure for experiential measurement knowledge is described in detail and knowledge retrieval and acquisition techniques are presented

Bodies of water masses are important due to their influence on: (a) climate and atmospheric patterns of circulation, such as El Niño; (b) ocean production and (c) pollution transport along the oceans. Their study relies on conservative properties such as Salinity and Temperature given to them in the location they are formed. Therefore, these proper...

This paper describes one solution developed to convert textual documents into formlike representations of cases. The experiences described by cases are textual descriptions of legal decisions. Indexing vocabulary and assignment theory contributed in gathering expert knowledge to define attributes and values as well as the required elements to emplo...

In this article we address the issues brought up by Elkan in his article, “The paradoxical success of fuzzy logic,” [IEEE Expert, 3–8 (1994)]. Elkan's work has caused concern since it purportedly reveals a Fuzzy Logic weakness regarding its theoretical foundations. A further investigation of Elkan's theorem (“Theorem 1”) revealed that its conclusio...

We introduce a learning method: free associative neurons (FAN). FAN is composed of independent units with autonomous learning capability. The learning power of FAN is based on the association of its units and on the use of granularity for representing information. As a method for representing complex environments, FAN can be used in pattern recogni...

Color recipe specification in a textile print shop requires a great deal of human experience. There is an intrinsic knowledge that makes the computing modeling a difficult task. One of the main issues is the human color perception. A small variation on the intenseness of colorants can lead to very different results. We propose a fuzzy model of colo...

The extremely fast development of software tools in the last few years has opened a completely new perspective for computing systems. The emergence of commuting languages such as Perl and Java has made possible the development of online systems running as cross-platform programs. We present an example of such systems: a commuting system for cost an...

This paper describes a system aimed at prescribing nutritional programs using Case-Based Reasoning (CBR). A nutritional program is a balanced dietetic plan aimed at better health conditions of the individuals. The nutritional task refers to prescribing a nutritional program as a therapy for a given nutritional disorder, in accordance to the patient...

Proposes a new hybrid genetic algorithm for fuzzy system learning. The algorithm is based on Baldwin's (1896) effect, with the inclusion of biological principles of learning. Rather than considering mutation as a stochastic event, we take into account the results of biological experiences that seem to indicate an individual capability to choose the...

The extremely fast development of software tools in the last few years has open a completely new perspective for computing systems. The emergence of commuting languages such as Perl and Java has made possible the development of on-line systems running as cross-platform programs. In this article we present an example of such systems: a commuting sys...

Introduces a new learning method: free associative neurons (FAN). FAN is composed of independent units with autonomous learning capabilities. The learning power of FAN is based on the association of its units and on the use of granularity for representing information. As a method for representing complex environments, FAN can be used in pattern rec...

In this paper we propose a large case-based reasoner for the legal domain. Analyzing legal texts for indexing purposes makes the implementation of large case bases a complex task. We present a methodology to automatically convert legal texts into legal cases guided by domain expert knowledge in a rule-based system with Natural Language Processing (...

The paper describes the application area of diagnosis and therapy of mental disorders. A CBR system that assists professionals and relatives in this area is presented. On the Mental Health area, a certain kind of problems can be fitted in an equal rank, usually designated "behavior disorder" (schizophrenia, alcoholism, etc.). Such cases in which th...

In this paper we propose a large case-based reasoner for the legal domain. Analyzing legal texts for indexing purposes makes the implementation of large case bases a complex task. We present a methodology to automatically convert legal texts into legal cases guided by domain expert knowledge in a rule-based system with Natural Language Processing (...

This paper focuses on the problem of choosing the best match among a set of retrieved cases. The Select step is subtask of case retrieval that produces the case that suggests the solution for the input case. There are many different ways to accomplish this task and we propose an automatic means for it. Following the original motivation of paralleli...

Although monitoring the financial health of small firms can be decisive to their success, this kind of organization generally depends on expensive financial consultancy to face such problems. The complexity of the solving process has been a barrier to computational solutions. A close study indicates two main strategies that are adopted by a financi...

Since their inception, the main purpose of expert systems has been emulate human expert reasoning in problem solving. After the first developments, the researchers realized the importance of treating uncertainty in both data and knowledge. Fuzzy Expert Systems became a successful alternative due to their ability of modeling fuzziness of natural lan...

In this discussion we review the main remarks of Laviolette, Seaman, Barrett, and Woodall. First, we examine how the subjectivist view of probability faces the task of modeling human reasoning according to a cognitive viewpoint. We then investigate the nature of the fuzzy and probabilistic controllers analyzed by the authors, refuting the hypothesi...

A soccer game have some attributes that, located can assist in the taking of dynamic decisions during elapsing of the same, such as the idea of the more adaptable tactical model for determined situation. A probabilist expert system has as base, rules and facts associates the uncertainties, that map the knowledge of some domain. In this article we w...

Today, the managers need to make fast decisions to attend the frequent conflicts at business, it's necessary to implement a support system for their decisions, providing trustful and adequate information, presented on a clearance language. Focused on this point the Data Warehouse (DW) systems gives a great aid for the managers over the new challeng...

Resumo. Com o atual crescimento da utilização de ferramentas de ensino a distância baseadas na Web, surgiu a necessidade de se aplicar novas metodologias de avaliação do grau de aprendizado do aluno. A aplicação de métodos modernos de avaliação tende a tornar o ensino a distância mais eficiente e a utilização de jogos como ferramentas de avaliação...

The search employed by judicial professionals when seeking for past similar legal decisions is known as jurisprudence research. Humans employ analogical reasoning when comparing a given actual situation with past decisions, noting the affinities between them. In the process of being reminded of a similar situation when faced to a new one, Case-Base...

When dealing with economic decision making, (e.g., financial decision making, budgeting, business feasibility evaluation), one always needs to model cash flows that are uncertain by nature. Due to the lack of information, one has to rely on expert’s knowledge to perform such task. Experts use their expertise that combines knowledge and experiences...

Case representation is a Case-Based Reasoning (CBR) problem area that refers to selecting proper descriptors to describe and index cases. The complexity of case representation has been preventing CBR systems from solving problems when large case bases are required. We present the development and implementation of a methodology to automatically conv...

Expert System and Case-Based Reasoning technologies are combined in an Intelligent Hybrid System to perform Working Capital Management decisions. These decisions are taken considering variables of the firm which are available in the system and others that are forecasted by the system. The proposed application simulates a team work in a financial de...

The correct perception of the financial condition of a firm is dependent upon the quality of its information processing system and upon the analyst’s expertise. The more complex the financial environment, the more difficult is the identification of problematic situations. Monitoring and correcting inappropriate conditions become critical tasks, par...

This paper presents a hybrid system for route planning. The system is composed of two principal modules: a case based reasoning (CBR) and a genetic module. The CBR module is responsible for the user interface. It retrieves the solutions founded by the genetic module, and adapts these solutions to the user preferences. The genetic module is responsi...

Monitoring and adjusting financial health problems play central role in the firm’s performance. Usually, small firms face difficulties in these tasks for lacking human resources and incapacity to afford a consultant. By analyzing the nature of the diagnosis and the solution of financial problems one can identify two different reasoning: during the...