Modeling Invasive Alien Plant Species

Fuzzy-Based Uncertainty

H.O.W. Peiris, S. Chakraverty, S.S.N. Perera , S.M.W. Ranwala

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English

CRC Press
26 August 2024

Botany & plant sciences; Environmental science, engineering & technology; Agricultural science; Agricultural engineering & machinery; Neural networks & fuzzy systems

Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty presents the application of different fuzzy set theory techniques in developing risk assessment models for invasive plant species- those whose introduction and spread outside their natural range threatens local biodiversity. Invasion risk of species is expressed by biological traits which would be considered as the risk factors accompanied with uncertainty and imprecision. The book considers both quantitative and qualitative inputs 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 various regions and conditions.

Features:

Uniquely merges mathematical models with biological expressions.

Presents different factor-based models as a case study on the risk of invasive alien plant species.

Explains how users can perform primary-level risk assessment through fuzzy modeling techniques.

Appropriate for upper-level students, researchers, and practicing professionals, this book shows how conventional approaches such as probability theory can be of limited use to solve issues of uncertainty, and how they fuzzy set theory plays a better role in understanding uncertain system dynamics, such invasive plant modelling.

By: H.O.W. Peiris, S. Chakraverty, S.S.N. Perera, S.M.W. Ranwala
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 320g
ISBN: 9781032045641
ISBN 10: 1032045647
Pages: 182
Publication Date: 26 August 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Contents List of Figures ...........................................................................................................ix List of Tables...........................................................................................................xiii Preface.....................................................................................................................xxi Acknowledgments..................................................................................................xxv Chapter 1 Invasive Alien Plant Species............................................................1 Chapter 2 Risk Assessment of Invasive Alien Plant Species ..........................7 Chapter 3 Preliminaries..................................................................................11 Chapter 4 Modeling Quantitative Parameters ................................................23 Chapter 5 Interval Function Approximation Techniques...............................39 Chapter 6 Modeling with the Fuzzy Linguistic Approach.............................49 Chapter 7 Modeling with the Fuzzy Linguistic 2-tuple Approach with Unbalanced Linguistic Terms Set.......................................................73 Chapter 8 Evaluation of Invasion Risk with Quantitative Parameters ...........87 Chapter 9 Evaluation of Invasion Risk Intervals with Quantitative and Qualitative Parameters.........................................................................113 Chapter 10 Evaluation of Invasion Risk Levels with Symmetrically Distributed Linguistic Terms Sets.....................................................127 Chapter 11 Evaluation of Invasion Risk Levels with Asymmetrically Distributed Linguistic Terms Sets.....................................................159 Bibliography .........................................................................................................173 Index......................................................................................................................181