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Modeling Invasive Alien Plant Species: Fuzzy-Based Uncertainty [Pehme köide]

  • Formaat: Paperback / softback, 182 pages, kõrgus x laius: 234x156 mm, kaal: 320 g, 69 Tables, black and white; 45 Line drawings, black and white; 45 Illustrations, black and white
  • Ilmumisaeg: 26-Aug-2024
  • Kirjastus: CRC Press
  • ISBN-10: 1032045647
  • ISBN-13: 9781032045641
  • Formaat: Paperback / softback, 182 pages, kõrgus x laius: 234x156 mm, kaal: 320 g, 69 Tables, black and white; 45 Line drawings, black and white; 45 Illustrations, black and white
  • Ilmumisaeg: 26-Aug-2024
  • Kirjastus: CRC Press
  • ISBN-10: 1032045647
  • ISBN-13: 9781032045641

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.



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.

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