Modeling Invasive Alien Plant Species: Fuzzy-Based Uncertainty

Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty applies fuzzy set theory techniques to develop risk assessment models for invasive plant species, considering quantitative and qualitative inputs and incorporating mathematical models based on fuzzy set theory operators, interval methods, and fuzzy linguistic operators. The book is suitable for upper-level students, researchers, and practicing professionals, as it demonstrates how fuzzy set theory can better understand uncertain system dynamics, such as invasive plant modelling, compared to conventional approaches like probability theory.

Format: Hardback
Length: 182 pages
Publication date: 23 August 2021
Publisher: Taylor & Francis Ltd

Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty delves into the realm of developing risk assessment models for invasive plant species, those whose introduction and spread outside their natural range pose significant threats to local biodiversity. The invasion risk of species is intricately linked to biological traits that are characterized by uncertainty and imprecision. This comprehensive book takes into account both quantitative and qualitative inputs in modelling the invasive risk by incorporating diverse mathematical models based on fuzzy set theory operators, interval methods, and fuzzy linguistic operators. The proposed models offer a versatile approach for investigating the risk of invasive alien plant species across various regions and conditions.

Key Features:

Unique Integration of Mathematical Models with Biological Expressions: This book pioneers the fusion of mathematical models with biological concepts, providing a holistic framework for understanding and modelling the risk of invasive alien plant species.

Diverse Factor-Based Models: As a case study, it presents various factor-based models that shed light on the risk associated with invasive alien plant species. These models serve as valuable tools for analysing and assessing the potential threats posed by these species.

Explains How Users Can Perform Primary-Level Risk Assessment through Fuzzy Modeling Techniques: The book offers practical guidance on how users can employ fuzzy modeling techniques to perform primary-level risk assessment. It demystifies the complexities of fuzzy modelling and empowers individuals with the skills to evaluate and manage the risks associated with invasive alien plant species.

Suitable for Upper-Level Students, Researchers, and Practicing Professionals: This book is designed to cater to the needs of upper-level students, researchers, and practicing professionals interested in the field of invasive plant modelling. It showcases how conventional approaches such as probability theory may have limitations in addressing issues of uncertainty, and how fuzzy set theory emerges as a powerful tool for comprehending and modelling uncertain system dynamics, particularly in the context of invasive plant modelling.

By exploring the application of fuzzy set theory techniques in developing risk assessment models for invasive plant species, Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty offers valuable insights into the complexities of managing and mitigating the threats posed by these species. It empowers professionals and researchers with the tools and knowledge necessary to effectively address the challenges associated with invasive alien plant populations and safeguard local biodiversity.

Weight: 528g
Dimension: 160 x 242 x 20 (mm)
ISBN-13: 9780367758097