Seleção de tecnologias de comunicações no exército brasileiro utilizando os métodos multicritério de análise hierárquica, TODIM e software Sapiens

Ribeiro, Laiane Medeiros; Passos, Aderson Campos; Teixeira, Marcello G.

doi:10.1590/s0103-65132011005000063

Cited by 4 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Gomes, Lima 1991;Rangel, Gomes 2007;Gomes, Rangel 2009;Ribeiro et al 2012). Prospect Theory, developed by Khaneman and Tversky in the early 1980s, was intended for the modelling of human behaviour in decision situations involving risk (cf.…”

Section: The Todim Approachmentioning

confidence: 99%

An Idiosyncratic Decision Support System for Credit Risk Analysis of Small and Medium-Sized Enterprises

Gonçalves¹,

Ferreira

Jalali

et al. 2015

Technological and Economic Development of Economy

View full text Add to dashboard Cite

Small and medium-sized enterprises (SMEs) are currently considered an important driving force of economic growth. Several studies have been developed to analyse this issue and, in particular, to assess the credit risk of SMEs. Most of these applications, however, share the same methodological limitations, such as the manner by which criteria are selected, or the methods used for calculating the weights between them. Based on the integrated use of cognitive mapping techniques and the Interactive Multiple Criteria Decision Making (TODIM) approach, this study aims to create an idiosyncratic decision support system for the identification of multiple criteria and the calculation of their respective weights (i.e. the trade-offs) in the evaluation of SME credit risk. The results show that the model created in this study allows for simple and straightforward credit concession decisions, facilitating the evaluation of SME credit applications through more informed and transparent risk assessments. Practical implications, strengths and weaknesses of the proposed framework are analysed and discussed.Keywords: credit risk analysis, multiple criteria decision analysis (MCDA), small and mediumsized enterprises (SMEs), TODIM (Portuguese acronym for interactive multiple criteria decision making).JEL Classification: C44, D70, M21.

show abstract

Section: The Todim Approachmentioning

confidence: 99%

An Idiosyncratic Decision Support System for Credit Risk Analysis of Small and Medium-Sized Enterprises

Gonçalves¹,

Ferreira

Jalali

et al. 2015

Technological and Economic Development of Economy

View full text Add to dashboard Cite

show abstract

“…Em inglês, seu nome original é Analytic Hierarchy Process (AHP). O método leva esse nome por organizar os critérios de forma hierárquica, na qual o problema decisório assume a posição do topo da hierarquia (Ribeiro et al, 2012).…”

Section: Métodos De Apoio Multicritério à Decisão (Amd)unclassified

Desenvolvimento de produtos usando a abordagem MCDA-C

Machado

Ensslin

2015

Prod.

View full text Add to dashboard Cite

O objetivo do presente trabalho consiste em construir um modelo para auxiliar a gestão do desenvolvimento de produtos de uma empresa de eletrodomésticos. Trata-se de um estudo de caso, exploratório e de natureza prática, que segue uma abordagem quali-quantitativa. Os dados para estruturação do problema foram coletados diretamente com o gestor do departamento de cocção e em documentos internos da empresa. O instrumento de intervenção utilizado foi a Abordagem Multicritério de Apoio à Decisão Construtivista (MCDA-C), que permitiu ao gestor desse contexto visualizar os critérios que devem ser considerados em um processo de avaliação de fogões, bem como permitiu a mensuração ordinal e cardinal do desempenho dos fogões de mesa, auxiliando assim nas decisões de elaboração de projetos de desenvolvimento e aprimoramento desses produtos. Para facilitar o entendimento deste artigo, os autores optaram por dar foco a um dos critérios do modelo: a usabilidade.

show abstract

Comparing Rankings from Using TODIM and a Fuzzy Expert System

Salomon

Rangel

2015

Procedia Computer Science

View full text Add to dashboard Cite

TODIM is, in its original formulation, an MCDA method developed to solve ranking problems. As an MCDA method TODIM combines the use of a multi-attribute value function as well as elements of the Outranking Approach, being founded on Prospect Theory. Recent advances in TODIM incorporate concepts from Fuzzy Sets. Although modelling multicriteria decision problems with Fuzzy Sets has been utilized when the available data are imprecise, their use in MCDA is slightly controversial, because the data fuzzification can invalidate the outcome. Following a mixed qualitative-quantitative research strategy, our aim is to prove that for the ranking problems, TODIM can provide better solutions than Fuzzy Sets. Ranks from TODIM are linear, or strong, in a sense that it has no ties between the alternative solutions. The rank obtained with a Fuzzy Expert System can be weaker, that is, it may be a number of ties. The research strategy extends this result to ranking problems with the occurrence of crisp criteria.

show abstract

Seleção de tecnologias de comunicações no exército brasileiro utilizando os métodos multicritério de análise hierárquica, TODIM e software Sapiens

Cited by 4 publications

References 2 publications

An Idiosyncratic Decision Support System for Credit Risk Analysis of Small and Medium-Sized Enterprises

An Idiosyncratic Decision Support System for Credit Risk Analysis of Small and Medium-Sized Enterprises

Desenvolvimento de produtos usando a abordagem MCDA-C

Comparing Rankings from Using TODIM and a Fuzzy Expert System

Contact Info

Product

Resources

About