Modelling invasive alien plant species fuzzy-based uncertainty / Habaragamuralalage Osadee Widarshi Peiris, Snehashish Chakraverty, Shyam Sanjeewa Nishantha Perera, Sudheera Manorama Wadisinh Ranwala.
| Author/creator | Peiris, Habaragamuralalage Osadee Widarshi |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, 2021. |
| Description | 1 online resource |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Abstract | "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. |
| General note | Includes index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Peiris, Habaragamuralalage Osadee Widarshi. Modelling invasive alien plant species First edition. Boca Raton : CRC Press, 2021. 9780367758097 |
| Genre/form | Electronic books. |
| LCCN | 2021006019 |
| ISBN | 9781003193807 (ebook) |
| ISBN | (hardback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |