Fuzzy logic in automation for interpretation of adaptability and stability in plant breeding studies

Author:

Carneiro Anna Regina Tiago1ORCID,Sanglard Demerson Arruda1ORCID,Azevedo Alcinei Mistico1ORCID,Souza Thiago Lívio Pessoa Oliveira de2ORCID,Pereira Helton Santos2ORCID,Melo Leonardo Cunha2ORCID

Affiliation:

1. Universidade Federal de Minas Gerais, Brasil

2. Embrapa Arroz & Feijão, Brasil

Publisher

FapUNIFESP (SciELO)

Reference22 articles.

1. Cultivar adaptation and recommendation from alfafa trials in northern Italy;Annicchiarico P.;Journal of Genetics and Breeding,1992

2. Genetic evaluation of grain sorghum hybrids in Brazilian environments using the REML/BLUP procedure;Almeida Filho J.E.;Scientia Agricola,2014

3. Random fuzzy sets: a mathematical tool to develop statistical fuzzy data analysis;Blanco-Fernández A.;Iranian Journal of fuzzy Systems,2013

4. A distance-based statistical analysis of fuzzy number-valued data;Blanco-Fernández A.;International Journal of Approximate Reasoning,2014

5. A classification methodology for the risk of weed infestation using fuzzy logic;Bressan G.M.;Weed Research,2008

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