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Academic & Professional Books  Ecology  Biogeography & Invasive Species

Modeling Invasive Alien Plant Species Fuzzy-Based Uncertainty

By: HOW Peiris(Author), S Chakraverty(Author), SSN Perera(Author), Sudheera MW Ranwala(Author)
160 pages, 45 b/w illustrations
Publisher: CRC Press
Modeling Invasive Alien Plant Species
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  • Modeling Invasive Alien Plant Species ISBN: 9780367758097 Hardback Aug 2021 Not in stock: Usually dispatched within 1-2 weeks
Price: £89.99
About this book Contents Customer reviews Biography Related titles

About this book

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 by 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 the risk of invasive alien plant species in various regions and conditions.

- 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 modelling techniques.

Appropriate for upper-level students, researchers, and practising 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 as invasive plant modelling.


- Invasive Alien Plant Species
- Risk Assessment of Invasive Alien Plant Species
- Preliminaries
- Modeling Quantitative Parameters
- Interval Function Approximation Techniques
- Modeling with Fuzzy Linguistic Approach
- Modelling with Fuzzy Linguistic 2-tuple approach with unbalanced linguistic terms set
- Evaluation of Invasion Risk with quantitative parameters
- Evaluation of Invasion Risk intervals with quantitative and qualitative parameters
- Evaluation of Invasion Risk levels with symmetrically distributed linguistic terms sets
- Evaluation of Invasion Risk levels with asymmetrically distributed linguistic terms sets
- References
- Index

Customer Reviews


Dr H.O.W. Peiris received the B.Sc. (Honors) Degree in Mathematics and PhD degree in Mathematical modelling from the University of Sri Jayewardenepura and the University of Colombo, Sri Lanka, respectively. Currently, she is a Lecturer in the Department of Mathematics, Faculty of Natural Science, the Open University of Sri Lanka. She has published several research papers and book chapters in journals and conferences. She received National Research Council (NRC) Merit Award for scientific publications for 2019 for the research paper published in Applied Soft Computing, Elsevier. Her research interests include fuzzy set theory and fuzzy uncertainty modelling.

Prof. S. Chakraverty has 30 years of experience as a researcher and teacher. Presently he is working in the Department of Mathematics (Applied Mathematics Group), National Institute of Technology Rourkela, Odisha as a Senior (Higher Administrative Grade) Professor. Prior to this, he was with CSIR-Central Building Research Institute, Roorkee, India. After completing Graduation from St. Columba’s College (Ranchi University), his career started at the University of Roorkee (Now, Indian Institute of Technology Roorkee) and did M. Sc. (Mathematics) & M. Phil. (Computer Applications) from there securing the First positions in the university. Dr Chakraverty received his Ph. D. from IIT Roorkee in 1992. Thereafter he did his post-doctoral research at the Institute of Sound and Vibration Research (ISVR), University of Southampton, U.K. and at the Faculty of Engineering and Computer Science, Concordia University, Canada. He was also a visiting professor at Concordia and McGill universities, Canada, during 1997-1999 and visiting professor of University of Johannesburg, South Africa during 2011-2014.

Dr S.S.N. Perera received obtained PhD from the University of Colombo under the DAAD sandwich programme in collaboration with TU Kaiserslautern, Germany in 2008. His current research interests are in multidisciplinary areas that bridge Applied Mathematics, Numerics and Natural Sciences together. He is working in the area of Mathematical Modeling on Epidemiology, Biology and Ecology. He has published 79 journal publications (45 are in indexed journals) and over 120 publications in local/international conferences and symposia through collaborative research work. He has published 5 book chapters, 2 books and has edited one book. He served as the keynote speaker / plenary speaker / invited speaker/resource person in more than 45 international conferences/symposia/workshops.

Prof. Sudheera M. W. Ranwala obtained B.Sc in Botany in 1992 from the University of Colombo, and PhD in Plant Ecology from the University of Aberdeen, Scotland in 2001. As a professor in Plant Ecology and Biodiversity Conservation, she is affiliated to the Department of Plant Sciences, University of Colombo. Since 1993, Sudheera has pioneered in academic achievements, research, publications and contribution to national development. She has been a recipient of the President’s Award for Scientific Research Publications, Merit Awards from the National Research Council, Senate Award of the University of Colombo, and Faculty Awards for scientific research publications. She is an alumnus (scholar and fellow) of Commonwealth Commission of the United Kingdom, a Chartered and Fellow member of the Institute of Biology Sri Lanka and also a consultant Plant ecologist at the national level.

By: HOW Peiris(Author), S Chakraverty(Author), SSN Perera(Author), Sudheera MW Ranwala(Author)
160 pages, 45 b/w illustrations
Publisher: CRC Press
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