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Provedor de dados:  AgEcon
País:  United States
Título:  APPLYING FUZZY THEORY CONCEPTS TO THE ANALYSIS OF EMPLOYMENT DIVERSIFICATION OF FARM HOUSEHOLDS: METHODOLOGICAL CONSIDERATIONS
Autores:  Fritzsch, Jana
Data:  2010-07-14
Ano:  2008
Palavras-chave:  International Development
Research Methods/ Statistical Methods
Resumo:  The Deliverable 7.2 (D7.2) of the SCARLED project provides methodological considerations for applying fuzzy set theory to the analysis of employment diversification of farm households. It presents a Mamdani's type fuzzy inference model and describes its application within the project's framework. The model consists of ten variables that are grouped into the four factors: (i) necessity to diversify, (ii) internal preconditions, (iii) external preconditions, and (iv) attitudes. The coherence of these four factors with the integrated framework for the analysis of nonfarm rural employment is discussed. The model will be realised in the Fuzzy Logic Toolbox from MATLAB®. Forty four membership functions and 138 rules are going to be implemented, tested, and adapted with survey data from the five countries: Bulgaria, Hungary, Poland, Romania, and Slovenia. The final model will be used to assess the diversification potential of 15 regions in these countries.
Tipo:  Working or Discussion Paper
Idioma:  Inglês
Identificador:  http://purl.umn.edu/91953
Relação:  Institute of Agricultural Development in Central and Eastern Europe (IAMO)>IAMO Discussion Papers
IAMO Discussion Papers
116
Formato:  33
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