Ex-Post Clustering of Brazilian Beef Cattle Farms Using Soms and Cross-Evaluation Dea Models

Mello, João Carlos Correia Baptista Soares de; Gomes, Eliane Gonçalves; Meza, Lídia Ângulo; Neto, Luiz Biondi; Abreu, U. G. P. de; Carvalho, Thiago Bernardino de; Zen, Sérgio de

doi:10.5772/51324

Cited by 4 publications

(3 citation statements)

References 33 publications

(31 reference statements)

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“…In this sense, our proposal differs from [10], which used the DEA cross-efficiencies as inputs to the SOMs procedure for expost clustering. Additionally, we apply the algorithm developed in [3] to enable the direct comparison of plots from different clusters.…”

Section: Dea's Application In Agriculturementioning

confidence: 98%

“…In [3], DEA models were used to compare the performance of farms cultivated with different technologies, and an algorithm for calculating the relative efficiency scores taking into account such non-homogeneity was proposed. In [10], the performance of producers were analysed, using SOMs and cross-evaluation DEA models. In [11], a unitary input model was used for the evaluation of intercropping.…”

Section: Dea's Application In Agriculturementioning

confidence: 99%

See 1 more Smart Citation

Productive performance of small peri-urban farms using self-organizing maps and data envelopment analysis

Rubem¹,

Moura²,

Oliveira³

et al. 2015

WIT Transactions on Ecology and the Environment

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In this paper, we aim to analyze the productive performance of plots cultivated by family farmers. We use an alternative Data Envelopment Analysis (DEA) approach to calculate the relative efficiency of such plots. Notwithstanding, DEA's basic assumption includes the homogeneity of the production units under analysis. Herein, as the chemical composition of the soil varies considerably among plots, directly influencing their fertility, and, thus, their productivity levels, the plots shall be grouped into homogeneous clusters first. For that, we use SelfOrganizing Maps, based on their comparative advantages to other methods. Then, the relative efficiencies of plots within each cluster will be assessed using separate DEA models. Nonetheless, a direct comparison among the scores of plots from different clusters is not feasible, because the relative efficiency of a production unit can solely be compared to those inserted in the same set of analysis. Hence, to overcome such inconvenience, we further apply a technique that allows compensating for the non-homogeneity of plots. The results indicate that, when countervailing the effects of the chemical composition of the soil, the plots with favorable conditions do not necessarily present better productive outcomes.

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Section: Dea's Application In Agriculturementioning

confidence: 98%

Section: Dea's Application In Agriculturementioning

confidence: 99%

Productive performance of small peri-urban farms using self-organizing maps and data envelopment analysis

Rubem¹,

Moura²,

Oliveira³

et al. 2015

WIT Transactions on Ecology and the Environment

View full text Add to dashboard Cite

show abstract

“…Aqui, ao invés de variáveis exógenas, o próprio input (capacidade da frota) do processo será usado na definição dos agrupamentos. Alternativamente, é possível adotar a abordagem inversa (ex-post), em que se calcula a eficiência de todas as unidades do conjunto de análise usando o modelo CCR para, só então, agrupá-las, segundo a pontuação obtida (Soares de Mello et al, 2012).…”

Section: Clusterização Em Deaunclassified

Comparação entre modelo DEA clusterizado pela escala de operação e modelo DEA tradicional para retornos variáveis de escala na avaliação de empresas aéreas brasileiras

et al. 2015

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<p>O objetivo deste artigo é realizar uma análise comparativa dos resultados de eficiência obtidos usando uma abordagem tradicional de Análise Envoltória de Dados (DEA, do inglês Data Envelopment Analysis) em contraposição à metodologia aqui proposta, que representa uma forma alternativa de lidar com diferenças na escala de operação das unidades produtivas. Para tanto, é conduzido um estudo de caso sobre o desempenho operacional das empresas brasileiras de transporte aéreo de passageiros, quanto ao uso da frota. A proposta combina clusterização das unidades produtivas segundo a escala de operação, aplicação do modelo DEA original para retornos constantes de escala separadamente em cada cluster, além da compensação das diferenças de escala entre os clusters. Os resultados foram comparados aos do modelo DEA tradicional para retornos variáveis de escala, tendo revelado que a abordagem proposta aumentou a discriminação entre as unidades, sem grande impacto nas ordenações finais.</p>

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Weights based clustering in Data Envelopment Analysis using Kohonen Neural Network: An Application in Brazilian Electrical Sector

Alves

Mello

2015

IEEE Latin Am. Trans.

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Ex-Post Clustering of Brazilian Beef Cattle Farms Using Soms and Cross-Evaluation Dea Models

Cited by 4 publications

References 33 publications

Productive performance of small peri-urban farms using self-organizing maps and data envelopment analysis

Productive performance of small peri-urban farms using self-organizing maps and data envelopment analysis

Comparação entre modelo DEA clusterizado pela escala de operação e modelo DEA tradicional para retornos variáveis de escala na avaliação de empresas aéreas brasileiras

Weights based clustering in Data Envelopment Analysis using Kohonen Neural Network: An Application in Brazilian Electrical Sector

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