Modelling invasive alien plant species : fuzzy-based uncertainty / Habaragamuralalage Osadee Widarshi Peiris, Snehashish Chakraverty, Shyam Sanjeewa Nishantha Perera, Sudheera Manorama Wadisinh Ranwala.
By: Peiris, Habaragamuralalage Osadee Widarshi [author.]
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Material type: 
BookPublisher: Boca Raton : CRC Press, 2021Edition: First edition.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781003193807; 1003193803; 9781000422658; 1000422658; 9781000421903; 1000421902.Subject(s): Invasive plants -- Mathematical models | Invasive plants -- Risk assessment | Fuzzy mathematics | SCIENCE / Life Sciences / Botany | TECHNOLOGY / Agriculture / General | TECHNOLOGY / Environmental Engineering & TechnologyDDC classification: 581.6/2 Online resources: Taylor & Francis | OCLC metadata license agreement Summary: "Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty presents applications of different fuzzy theory techniques in developing risk assessment models for invasive alien plant species whose introduction and spread outside their natural range threatens biodiversity. Invasion risk of species is expressed by biological traits which would be considered as the risk factors accompanied with uncertainty and imprecision. It considers both quantitative and qualitative input in modelling the invasive risk by incorporating different mathematical models based on fuzzy set theory operators, interval methods, and fuzzy linguistic operators. The proposed models can be applied for investigating risk of invasive alien plant species in different regions"-- Provided by publisher.
Includes index.
"Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty presents applications of different fuzzy theory techniques in developing risk assessment models for invasive alien plant species whose introduction and spread outside their natural range threatens biodiversity. Invasion risk of species is expressed by biological traits which would be considered as the risk factors accompanied with uncertainty and imprecision. It considers both quantitative and qualitative input in modelling the invasive risk by incorporating different mathematical models based on fuzzy set theory operators, interval methods, and fuzzy linguistic operators. The proposed models can be applied for investigating risk of invasive alien plant species in different regions"-- Provided by publisher.
OCLC-licensed vendor bibliographic record.
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