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

Abstract

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.

Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa)

“…However, they showed that a hybrid fuzzy controller of the Eberhart & Russell and Lin & Binns was useful and efficient to aid in the process of cultivar recommendation. Similar results on using fuzzy controllers to classify genotypes for grain yield were also found in common bean (Carneiro et al, 2018; Carneiro et al, 2020). These studies confirmed that the fuzzy hybrid controller of the two methods had the power to handle multiple parameters ( , , and ) and appropriately link information from them to make proper conclusions regarding the behaviour of genotypes.…”