A fuzzy logic-based spatial suitability model for drought-tolerant switchgrass in the United States

Lewis, Sarah M.; Fitts, Gary; Kelly, Maggi; Dale, Larry

doi:10.1016/j.compag.2014.02.006

Cited by 61 publications

(56 citation statements)

References 46 publications

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“…Unlike other overlay functions, GAMMA takes into account all the indicators in the process of aggregation, better integrating low and high membership from multiple eligibility criteria. Similar results have been highlighted by Lewis (2014), who showed that the GAMMA fuzzy overlay function best recognises trade-offs between combinations of multiple criteria. Sensitivity analysis showed that the best value of aggregation is γ = 0.7, since this value allows the maximum differentiation between the municipalities of the CMA.…”

Section: Assessing the Adaptive Capacitysupporting

confidence: 84%

“…This is fundamental since when one is assessing AC the combination of the evidence is usually more important than any single input. In this regard, Lewis et al (2014) indicates that the "GAMMA function provides the best combination of evidence while other overlay methods gave too much weight to single variables at a given location while downplaying others". Further discussion on the relative merits of using the GAMMA function for aggregating multiple sources of information can be found in (Ki and Ray 2014;Malins and Metternicht 2006;Vafai et al 2013).…”

Section: Aggregation Of Indicatorsmentioning

confidence: 99%

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Assessing urban adaptive capacity to climate change

Araya-Muñoz

Metzger

Stuart

et al. 2016

Journal of Environmental Management

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Section: Assessing the Adaptive Capacitysupporting

confidence: 84%

Section: Aggregation Of Indicatorsmentioning

confidence: 99%

Assessing urban adaptive capacity to climate change

Araya-Muñoz

Metzger

Stuart

et al. 2016

Journal of Environmental Management

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“…A soft-computing methodology, fuzzy logic provides quick, simple, and sufficient solution while allowing for impreciseness, sub-optimality, and vagueness (Chen, Paydar 2012, de Carvalho Alves et al 2011, Dubey et al 2013, Lewis et al 2014. This makes it flexible and simple to understand, enabling a specialist to easily incorporate his expertise and develop models of complex nonlinear functions (Chen, Paydar 2012, de Carvalho Alves et al 2011, Dubey et al 2013, Lewis et al 2014.…”

Section: Introductionmentioning

confidence: 99%

“…This makes it flexible and simple to understand, enabling a specialist to easily incorporate his expertise and develop models of complex nonlinear functions (Chen, Paydar 2012, de Carvalho Alves et al 2011, Dubey et al 2013, Lewis et al 2014. Also, other than its ability to combine qualitative and quantitative information, developing model using fuzzy logic can be done without precise quantitative measurements (Kampichler et al 2000, Kim, Beresford 2011, Scherm 2000.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies used Unauthenticated Download Date | 5/9/18 7:00 PM fuzzy logic for crop suitability assessment (e.g. Balezentiene et al 2013, Braimoh et al 2004, Joss et al 2008, Kurtener et al 2008, Lewis et al 2014, Papageorgiou et al 2009, Reshmidevi et al 2009, Sicat et al 2005, Triantafilis et al 2001, Van Ranst et al 1996, Xiao Zhang and Ximing Cai 2011, Zhao et al 2015. According to Lewis et at.…”

Section: Introductionmentioning

confidence: 99%

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Mapping Spatio-Temporal Changes in Climatic Suitability of Corn in the Philippines under Future Climate Condition

Salvacion

2017

Quaestiones Geographicae

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SAlvAcion A.r., 2017. Mapping spatio-temporal changes in climatic suitability of corn in the Philippines under future climate condition. Quaestiones Geographiceae 36(1), Bogucki Wydownictwo Naukowe, Poznań, pp. 105-120, 11 figs, 5 tables.AbStrAct: This study assessed the spatio-temporal changes in corn climatic suitability in the Philippines under future climate condition. Using extracted climatic data from WorldClim database for the country under baseline and future climate condition, changes in corn suitability was assessed using fuzzy logic approach and published rainfall and temperature requirement of the crop. Based on the data, the large portion of the country will experience increase in monthly total rainfall (88%) while increase in monthly mean and minimum temperature under future climate condition is projected for the entire country. These increases in rainfall and temperature resulted in changes of corn climatic suitability in the country depending on the month and location. On the average, changes in rainfall resulted in reduction (8%) and improvement (6%) in corn suitability while increase in temperature resulted in 5% and 0.4% reduction and improvement, respectively.

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Application of artificial intelligence to maximize methane production from waste paper

et al. 2020

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This article proposes a methodology based on artificial intelligence to enhance methane production from waste paper. The proposed methodology combines fuzzy logic-based modelling and modern optimization. Firstly, a robust Adaptive Network-based Fuzzy Inference System model of methane production process through fuzzy logic modelling is created using experimental datasets. Second, a particle swarm optimizer was used to obtain the optimal process conditions. During the optimization procedure, the beating time and feedstock/inoculum ratio are employed as decision variables in order to maximize methane production. The obtained resulted from the proposed methodology are compared with those obtained by response surface methodology. The results of the comparison confirmed the superiority of the proposed methodology. The fuzzy model shows a better fitting to the experimental data compared to ANOVA. The fuzzy model showed a higher coefficient of determination and a lower value of root mean squared errors compared to ANOVA. Moreover, the proposed strategy, that is, modelling and optimization, is an effective method for increasing the biomethane yield at extended range conditions.

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A fuzzy logic-based spatial suitability model for drought-tolerant switchgrass in the United States

Cited by 61 publications

References 46 publications

Assessing urban adaptive capacity to climate change

Assessing urban adaptive capacity to climate change

Mapping Spatio-Temporal Changes in Climatic Suitability of Corn in the Philippines under Future Climate Condition

Application of artificial intelligence to maximize methane production from waste paper

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