Article
Mathematics, Applied
M. Adabitabar Firozja, F. Rezai Balf, B. Agheli, R. Chutia
Summary: Ranking generalized fuzzy numbers is important in various applied models and decision-making procedures. This study proposes a method to compare real numbers and generalized fuzzy numbers, as well as rank two generalized fuzzy numbers based on the concept of accuracy. The advantage of this method is the ability to compare two generalized fuzzy numbers with accuracy and make a definitive comparison.
IRANIAN JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Oguz Emir, Sule Onsel Ekici
Summary: In recent years, waste management has gained attention due to sustainability concerns and the depletion of natural resources. Food waste management is particularly important given the growing population and hunger crisis. Integrated assessment models (IAMs) have been commonly used to study food waste and provide insights to policymakers, while the Fuzzy Cognitive Map (FCM) extended with intuitionistic fuzzy sets offers a framework for analyzing interactions between factors and prioritizing policies.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Studies
Jetse J. Stoorvogel, Vera L. Mulder
Summary: This study examines the options for reviewing global soil property maps, specifically focusing on the S-World database. By comparing S-World with other maps, validating it with independent soil observations, and evaluating its methodology, the research provides insights into the strengths and weaknesses of the database. The results indicate that S-World performs well in capturing variations in soil properties, but improvements can be made by utilizing larger soil profile databases.
Article
Computer Science, Artificial Intelligence
Surender Singh, Abdul Haseeb Ganie
Summary: This paper investigates knowledge measure and accuracy measure in fuzzy environments, exploring their applications in pattern analysis and decision-making. It compares the proposed measures with existing methods to evaluate their effectiveness and advantages.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Ecology
Alexandre M. J-C Wadoux, Gerard B. M. Heuvelink, Sytze de Bruin, Dick J. Brus
Summary: Recent studies suggest that cross-validation statistics in mapping studies are often optimistic due to the neglect of spatial autocorrelation. A numerical experiment on above-ground biomass mapping demonstrates that standard cross-validation results in smaller bias compared to spatial cross-validation. Spatial cross-validation lacks theoretical foundation and should not be used for map accuracy assessment, while standard cross-validation is inadequate for clustered data. Design-unbiased accuracy assessment can be achieved through probability sampling and design-based inference without considering spatial autocorrelation.
ECOLOGICAL MODELLING
(2021)
Article
Computer Science, Artificial Intelligence
Minakshi Biswas Hathiwala, Devangi Sojitra, Chandra Kanta Phukan, Gautam Hathiwala, Jignesh Pravin Chauhan, Sagar R. Khirsariya
Summary: Understanding the relationship between genotypes and phenotypes is crucial for unraveling the mechanisms of evolution. The concept of continuity plays an important role in comprehending this relationship from a mathematical perspective. Utilizing the fuzzy concept effectively discusses the changes due to uncertainty.
APPLIED SOFT COMPUTING
(2023)
Article
Ecology
Carles Mila, Jorge Mateu, Edzer Pebesma, Hanna Meyer
Summary: This study proposes a new cross-validation strategy that takes into account the geographical prediction space and compares it with other established methods. The new method, called NNDM LOO CV, provides reliable estimates in all scenarios considered. The existing methods, LOO and bLOO CV, have limitations and only provide accurate estimates in certain situations. Therefore, considering the geographical prediction space is essential when designing map validation methods.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Computer Science, Information Systems
Barbara Cardone, Ferdinando Di Martino
Summary: This study proposes a fuzzy-based thematic classification method that allows for the management of classification uncertainty and evaluation of the resulting thematic map's reliability. By using a fuzzy entropy measure to evaluate the fuzziness of fuzzy sets, an optimal fuzzy partition is found. The reliability of the final thematic map is assessed based on the fuzziness of the fuzzy sets.
Article
Remote Sensing
Linda Aune-Lundberg, Geir-Harald Strand
Summary: The comparison between the CORINE Land Cover dataset for Norway for the reference year 2018 and detailed national land cover and land use data showed that in general, the classification complied with the definitions, but discrepancies were found in detailed and marginal classes. Using classification based on statistical profiles can improve the accuracy of the classification.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Computer Science, Artificial Intelligence
Shuang Feng, C. L. Philip Chen, Lili Xu, Zhulin Liu
Summary: The FBLS model, while accurate in classification and regression tasks, becomes hard to interpret due to the ensemble of multiple fuzzy subsystems. The compact FBLS (CFBLS) simplifies the model for better interpretability and generates fewer and more explainable fuzzy rules.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Mathematical & Computational Biology
Victoria N. Nyaga, Marc Arbyn
Summary: We have developed a flexible, robust, and user-friendly statistical procedure called metadta for the analysis of diagnostic test accuracy studies. We have validated metadta by comparing it with popular procedures dedicated to this type of analysis, and have demonstrated its ability to perform network meta-analysis, which currently has no alternative in the frequentist framework. We believe that the availability of metadta will improve statistical practice in the synthesis of diagnostic test accuracy studies.
RESEARCH SYNTHESIS METHODS
(2023)
Article
Chemistry, Multidisciplinary
Sharad Salunke, Ashok Kumar Shrivastava, Mohammad Farukh Hashmi, Bharti Ahuja, Neeraj Dhanraj Bokde
Summary: This study presents a digital image compression-encryption technique based on a novel quad key-secured 3D Gauss chaotic map, singular value decomposition (SVD), and hybrid chaos. The algorithm has three benefits: it allows users to select the compression level, ensures communication safety through pixel coordinate scrambling, and provides secure encryption with nonlinear and chaotic keys. Experimental results show reliable reconstruction and resistance to attacks.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Mark D. Nelson, James D. Garner, Brian G. Tavernia, Stephen V. Stehman, Rachel I. Riemann, Andrew J. Lister, Charles H. Perry
Summary: This article introduces a map accuracy assessment framework for categorical geospatial data, utilizing multiple methods for comprehensive evaluation. The framework provides rigorous estimates of accuracy and precision, helps users assess the relative importance of map errors, and maximizes opportunities for comparisons between different datasets.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Computer Science, Theory & Methods
E. Jimenez-Fernandez, J. Rodriguez-Lopez, E. A. Sanchez-Perez
Summary: This article presents a McShane-Whitney extension theorem for real-valued fuzzy Lipschitz maps defined between fuzzy metric spaces. By generalizing the mathematical theory of extensions of Lipschitz maps to the fuzzy context, the similarities and differences with the classical case of extensions on metric spaces are explained.
FUZZY SETS AND SYSTEMS
(2021)
Article
Astronomy & Astrophysics
Ryan C. Challener, Luis Welbanks, Peter McGill
Summary: This research investigates eclipse mapping using Leave-one-out Cross Validation (LOO-CV) and applies it to the observation of WASP-18b. The study shows that constraints on planetary brightness patterns are influenced by phase-curve variation and the shape of eclipse ingress and egress. Additionally, the research explores the relationship between different brightness map components under a positive-flux constraint.
ASTRONOMICAL JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Hristo Dikanski, Alex Hagen-Zanker, Boulent Imam, Kate Avery
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING SUSTAINABILITY
(2017)
Review
Environmental Sciences
Michael G. Hutchins, Scott J. McGrane, James D. Miller, Alex Hagen-Zanker, Thomas R. Kjeldsen, Simon J. Dadson, Clare S. Rowland
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2017)
Article
Engineering, Civil
Hristo Dikanski, Boulent Imam, Alex Hagen-Zanker
Article
Environmental Sciences
M. G. Hutchins, D. Fletcher, A. Hagen-Zanker, H. Jia, L. Jones, H. Li, S. Loiselle, J. Miller, S. Reis, I Seifert-Dahnn, V Wilde, C-Y Xu, D. Yang, J. Yu, S. Yu
Summary: In recent years, there has been a growing recognition of the need for multi-functional assessment tools that evaluate trade-offs and co-benefits for various types of Nature-Based Solutions (NBS). These tools aim to identify optimal NBS placement across a diverse set of socio-environmental indicators, taking into account issues of relative location of areas of implementation and benefit accrual. It is crucial for these tools to quantify scale-dependence in order to effectively evaluate the outcomes of NBS.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Green & Sustainable Science & Technology
Macarena L. Cardenas, Vanessa Wilde, Alex Hagen-Zanker, Isabel Seifert-Dahnn, Michael G. Hutchins, Steven Loiselle
Summary: Nature-based solutions provide direct benefits to people living in relevant areas, which can be modeled and quantified. Participation in NbS through different interactions can stimulate motivation and willingness towards environmental sustainability.
Article
Environmental Sciences
Matthew Nigel Lawton, Belen Marti-Cardona, Alex Hagen-Zanker
Summary: This paper presents a method for identifying urban land cover changes using pixel-based time series analysis, particularly focusing on breaks in NDVI trends. The research shows that the method performs well in areas with large differences in NDVI dynamics among land cover types, but less so in areas where changes in land cover within pixels are minimal. Future improvements include incorporating spectral information other than NDVI and considering multiple change events per pixel over time.
Article
Computer Science, Interdisciplinary Applications
Jingyan Yu, Alex Hagen-Zanker, Naratip Santitissadeekorn, Susan Hughes
Summary: Cellular Automata (CA) models are widely used to study spatial dynamics of urban growth and evolving patterns of land use. A novel approach is proposed in this study to calibrate the model based on urban morphological patterns emerging from simulations starting from a land cover map completely void of urban land. This method provides an empirical distribution of parameter values that reflects model uncertainty, and has been successfully applied to two UK towns, effectively capturing their different urban growth patterns.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Nick Grudgings, Susan Hughes, Alex Hagen-Zanker
Summary: This paper investigates the impact of traffic intensity on commuter cycling rates. The study finds that high traffic speeds, traffic volumes, and speeds at intersections have a negative influence on cycling propensity, while cycle paths have a positive influence. The findings provide guidance for increasing cycling rates on commuting corridors.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Transportation
John P. Pritchard, Anne Dorothee Slovic, Mariana Giannotti, Karst Geurs, Adelaide Nardocci, Alex Hagen-Zanker, Diego B. Tomasiello, Prashant Kumar
Summary: The study found that ideal and maximum commuting preferences impact the measured job accessibility, with ICT-based job accessibility significantly decreasing total job accessibility. Additionally, commuting mode has a significant impact on satisfaction. Potential job accessibility is only weakly associated with travel satisfaction.
JOURNAL OF TRANSPORT AND LAND USE
(2021)
Article
Computer Science, Interdisciplinary Applications
Jingyan Yu, Alex Hagen-Zanker, Naratip Santitissadeekorn, Susan Hughes
Summary: The processes of urban growth vary and lack model transferability. This study introduces a novel data-driven scenario development framework and validates its effectiveness through empirical research. The identified parameter clusters can help reflect the uncertainty of future spatial development trajectories.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2022)
Article
Public, Environmental & Occupational Health
Nick Grudgings, Susan Hughes, Alex Hagen-Zanker
Summary: The study shows that in England and Wales, women and commuters aged 35-49 are less likely to commute by bicycle compared to other groups. The results indicate that cycling rates are more strongly associated with gender than age.
JOURNAL OF TRANSPORT & HEALTH
(2021)
Article
Economics
Like Jiang, Alex Hagen-Zanker, Prashant Kumar, John Pritchard
Summary: This study explores differences in job accessibility and environmental quality within submarkets in the Greater London metropolitan region. It finds that lower-price submarkets have advantages in job accessibility but disadvantages in environmental quality. Balancing job accessibility and environmental quality within constrained housing budgets is relatively easier in lower-price submarkets, allowing for more job accessibility with less sacrifice on environmental quality.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Public, Environmental & Occupational Health
Nick Grudgings, Alex Hagen-Zanker, Susan Hughes, Birgitta Gatersleben, Marc Woodall, Will Bryans
JOURNAL OF TRANSPORT & HEALTH
(2018)
Article
Environmental Sciences
Ioar Rivas, Prashant Kumar, Alex Hagen-Zanker, Maria de Fatima Andrade, Anne Dorothee Slovic, John P. Pritchard, Karst T. Geurs
ATMOSPHERIC ENVIRONMENT
(2017)
Article
Environmental Sciences
Boar Rivas, Prashant Kumar, Alex Hagen-Zanker
ENVIRONMENT INTERNATIONAL
(2017)