Overview

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.

Full Product Details

Author:   H.O.W. Peiris ,  S. Chakraverty ,  S.S.N. Perera ,  S.M.W. Ranwala
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9780367758097

ISBN 10:   0367758091
Pages:   182
Publication Date:   15 October 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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

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Author Information

"Dr. H.O.W. Peiris received the B.Sc. (Honors) Degree in Mathematics and Ph.D. degree in Mathematical modeling from the University of Sri Jayewardenepura and 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 modeling. 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. He has authored/co-authored 21 books, published 382 research papers (till date) in journals and conferences, two more books are in Press and two books are ongoing. Recently Prof. Chakraverty is in the list of 2% world scientists (to be more precise within 1%) in the Artificial Intelligence & Image Processing category based on an independent study done by Stanford University, USA scientists where his world rank is 1862 out of 215114 researchers throughout the globe. He is in the Editorial Boards of various International Journals, Book Series and Conferences. Prof. Chakraverty is the Chief Editor of ""International Journal of Fuzzy Computation and Modelling"" (IJFCM), Inderscience Publisher, Switzerland (http://www.inderscience.com/ijfcm), Associate Editor of ""Computational Methods in Structural Engineering, Frontiers in Built Environment"" and happens to be the Editorial Board member of ""Springer Nature Applied Sciences"", ""IGI Research Insights Books"", ""Springer Book Series of Modeling and Optimization in Science and Technologies"", ""Coupled Systems Mechanics (Techno Press)"", ""Curved and Layered Structures (De Gruyter)"", ""Journal of Composites Science (MDPI)"", ""Engineering Research Express (IOP)"" and ""Applications and Applied Mathematics: An International Journal"". He is also the reviewer of around 50 national and international Journals of repute and he was the President of the Section of Mathematical Sciences (including Statistics) of ""Indian Science Congress"" (2015-2016) and was the Vice President – ""Orissa Mathematical Society"" (2011-2013). Prof. Chakraverty is a recipient of prestigious awards viz. Indian National Science Academy (INSA) nomination under International Collaboration/Bilateral Exchange Program (with the Czech Republic), Platinum Jubilee ISCA Lecture Award (2014), CSIR Young Scientist Award (1997), BOYSCAST Fellow. (DST), UCOST Young Scientist Award (2007, 2008), Golden Jubilee Director’s (CBRI) Award (2001), INSA International Bilateral Exchange Award ([2010-11 (selected but could not undertake), 2015 (selected)], Roorkee University Gold Medals (1987, 1988) for first positions in M. Sc. and M. Phil. (Comp. Appl.) etc. He has already guided eighteen (18) Ph. D. students and nine are ongoing. Prof. Chakraverty has undertaken around 16 research projects as Principle Investigator funded by international and national agencies totaling about Rs.1.5 crores. A good number of international and national Conferences, Workshops, and Training programs have also been organised by him. His present research area includes Differential Equations (Ordinary, Partial and Fractional), Numerical Analysis and Computational Methods, Structural Dynamics (FGM, Nano) and Fluid Dynamics, Mathematical and Uncertainty Modeling, Soft Computing and Machine Intelligence (Artificial Neural Network, Fuzzy, Interval and Affine Computations). Following are his Google, Scopus and Vidwan (Institute) links: Google Scholar :　https://scholar.google.co.in/citations?user=4EeFYt4AAAAJ&hl=en Scopus ID :　http://www.scopus.com/authid/detail.url?origin=resultslist&authorId=7005011457&zone= Vidwan-ID : 62073, home page: http://nitrkl.irins.org/profile/62073 My VIDEO Lectures :　https://www.youtube.com/channel/UCEsAtWBMIvDTnrPH7Yn82wA/videos?view_as=subscriber 　 　 Dr. S.S.N. Perera received obtained PhD from University of Colombo under DAAD sandwich programme in collaboration with TU Kaiserslautern, Germany in 2008. His current research interests are on 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 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. He was awarded Junior Associate Membership (from 2006 to 2011) in recognition of multidisciplinary research activity by the Abdus Salam International Centre for Theoretical Physics (Italy) and in 2011, ERASMUS MUNDUS MAHEVA Fellowship to attend the Collaborative research program, at Department of Electronics, Uppsala University, Sweden. For his research he was awarded an SLAAS (Sri Lanka Association for the Advancement of Science) Postgraduate Research Award (Merit) in 2009 and NRC Merit Award for Scientific/Research Publications in 2010, 2017 and 2019. In 2017, he received two National Science Foundation (Sri Lanka) SUSRED Awards. He was awarded University of Vice Chancellor’s Award for Research Excellence in 2018 and University of Colombo Senate Award for Research Excellence in year 2016, 2017, 2018, 2019. He is a member of the Editorial Board of the Journal of National Science Foundation, which is the only Sri Lankan journal in the science citation index. 　 　 Prof. Sudheera M. W. Ranwala obtained B.Sc in Botany in 1992 from University of Colombo, and PhD in Plant Ecology from University of Aberdeen, Scotland in 2001. As a professor in Plant Ecology and Biodiversity Conservation she is affiliated to Department of Plant Sciences, University of Colombo. Since 1993, Sudheera has pioneered in academic achievements, research, publications and contribution to the national development. She has been a recipient of President’s Award for Scientific Research Publications, Merit Awards from National Research council, Senate Award of University of Colombo, and Faculty Awards for scientific research publications. She is an aluminus (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."

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