A measure of reliability for scientific co-authorship networks using fuzzy logic

Oliveira, Sandra Cristina de; Cobre, Juliana; Pereira, Danilo Florentino

doi:10.1007/s11192-021-03915-0

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…These systems have been widely employed in Agricultural Sciences, including poultry companies and production (CREMASCO; GABRIEL FILHO; CATANEO, 2010;PEREIRA et al, 2008), cattle farming (GABRIEL FILHO et al, 2011, 2016MAZIERO et al, 2022), irrigation engineering (BOSO et al, 2021a, b;SAAD;GABRIEL FILHO, 2022;GABRIEL FILHO et al, 2022a, b;MATULOVIC et al, 2021;PUTTI et al, 2017PUTTI et al, , 2021VIAIS NETO et al, 2019a, b), optimization of agricultural implements (GÓES et al, 2022), enhancement of plant vitality (PUTTI et al, 2014(PUTTI et al, , 2017, the agricultural product market (GABRIEL FILHO;PIGATTO;LOURENZANI, 2015;MARTÍNEZ et al, 2020;OLIVEIRA et al, 2021), among others. Specifi cally in the sugar-alcohol sector, applications of fuzzy systems in the classifi cation of sugarcane productivity (NATARAJAN; SUBRAMANIAN; PAPAGEORGIOU, 2016), combustion control in bagasse boilers (MELLO; CRUZ; SOUSA JÚNIOR, 2019), and weed detection in sugarcane fi elds (SUJARITHA et al, 2017) stand out.…”

Section: Introductionmentioning

confidence: 99%

Estimativa da produtividade de cana-de-açúcar: Uma abordagem utilizando lógica fuzzy

Gabriel Filho,

Amorim,

Cremasco

et al. 2024

RCA

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Brazil is a benchmark in sugarcane production, with the state of São Paulo standing out as the largest Brazilian producer. However, for sugarcane suppliers and mills to sustain this activity, there is a need to improve productivity per hectare and reduce production costs. In this regard, this study aimed to propose fuzzy systems to estimate sugarcane productivity based on planted area (Area) and total cost of soil tillage (TCST) for raw material suppliers and mills. To this end, two fuzzy inference systems were constructed for the output variable (productivity) from two input variables (Area and TCST), considering fi ve membership functions (very low, low, medium, high, and very high). Additionally, a survey on 42 sugarcane suppliers and 31 mills in the state of São Paulo was used for model construction. The results showed that the relationship between Area and TCST refl ects on the productivity of sugarcane suppliers and mills in distinct ways. For suppliers, an increase in productivity is observed when there is an almost negative relationship between both input variables. For mills, productivity rises when these variables fl uctuate in the same direction. Therefore, the proposed method is viable and provides relevant information for conjecturing survival strategies for agents in the sugarcane energy sector.

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Section: Introductionmentioning

confidence: 99%

Estimativa da produtividade de cana-de-açúcar: Uma abordagem utilizando lógica fuzzy

Gabriel Filho,

Amorim,

Cremasco

et al. 2024

RCA

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The drivers, features, and influence of first scientific collaboration among core scholars from Chinese library and information field

Peng,

Shi

2024

Asso for Info Science & Tech

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Collaboration among scholars in scientific research is increasingly common, making it important to address how to recommend suitable collaborators, especially for their first cooperation. To address this issue, this study focuses on 1487 core scholars in the field of library and information science in China, and then analyzes the impact of academic differences between these scholars in their first collaboration by using the propensity matching score method. It uncovers potential driving factors for scholars to reach first collaborations, including similar research productivity, contrasting academic influence, aligned research directions, and distinct research focuses. Then, the distribution of features of three types of first cooperation demonstrates that if one or both partners publish the first paper in this collaboration, the collaborative relationship tends to be more enduring and stable. In addition, the subsequent collaboration of scholars and the change in their academic differences are related to the initial academic differences between the two parties in the first collaboration. These patterns can be used to improve the accuracy and effectiveness of the scholar recommendation mechanism, hence promoting research collaboration and knowledge exchange.

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Fuzzy Centrality Measures: A Survey

Badaoui

Boulmakoul

Lbath

et al. 2022

Lecture Notes in Networks and Systems

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A measure of reliability for scientific co-authorship networks using fuzzy logic

Cited by 5 publications

References 29 publications

Estimativa da produtividade de cana-de-açúcar: Uma abordagem utilizando lógica fuzzy

Estimativa da produtividade de cana-de-açúcar: Uma abordagem utilizando lógica fuzzy

The drivers, features, and influence of first scientific collaboration among core scholars from Chinese library and information field

Fuzzy Centrality Measures: A Survey

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