Fuzzy logic applied to different adaptability and stability methods in common bean

• Autor(a) principal: Anna Regina Tiago Carneiro
• Data de Publicação: 2020
• Outros Autores: Demerson Arruda Sanglard, Alcinei Mistico Azevedo, Thiago Lívio Pessoa Oliveira de Souza, Helton Santos Pereira, Leonardo Cunha Melo, Pedro Crescêncio Souza Carneiro
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: https://doi.org/10.1590/S1678-3921.pab2020.v55.01609; http://hdl.handle.net/1843/48012; https://orcid.org/0000-0001-6759-9730
• topic: Inteligência computacional; Lógica difusa; Automação; Genes; Melhoramento genético

The objective of this work was to evaluate the efficiency of the methods of Eberhart & Russell and Lin & Binns, modified for the automation of decision-making by fuzzy logic, in assessing the adaptability and stability of common bean (Phaseolus vulgaris) cultivars. Eighteen cultivars of the “carioca” commercial group were evaluated in 11 environments, in Brazil. All results were obtained by programming in the R software. The developed controllers were based on the fuzzy inference system developed by Mamdani. This system was modeled to enable interpretations of the method of Eberhart & Russell alone or together with the modified method of Lin & Binns. The controller based on Eberhart & Russell and the one based on Eberhart & Russell and Lin & Binns identified the same cultivars as having general adaptability, but differed as to the classification of cultivars adapted to unfavorable environments. The BRSMG Pioneiro, BRS Pontal, IAC-Carioca Tybatã, and IPR Juriti cultivars presented general adaptability, whereas Campeão, Pérola, and BRS Estilo showed specific adaptability to favorable environments. The fuzzy logic methods used are efficient and allow the classification of all evaluated cultivars.