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Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach

Nikola Besic, Jordi Figueras i Ventura, Jacopo Grazioli, Marco Gabella, Urs Germann, Alexis Berne
2016 Atmospheric Measurement Techniques  
The main drawback of the existing supervised classification methods, mostly based on fuzzy logic, is a significant dependency on a presumed electromagnetic behaviour of different hydrometeor types.  ...  </strong> Polarimetric radar-based hydrometeor classification is the procedure of identifying different types of hydrometeors by exploiting polarimetric radar observations.  ...  Particularly, we would like to emphasise the help of Marco Boscacci and Daniel Wolfensberger, whose support was very handy in dealing with such a diverse dataset as the one used in the presented research  ... 
doi:10.5194/amt-9-4425-2016 fatcat:3n4uvgwmj5gwvbo7ltzyshfc4q

Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach

Nikola Besic, Jordi Figueras i Ventura, Jacopo Grazioli, Marco Gabella, Urs Germann, Alexis Berne
2016 Atmospheric Measurement Techniques Discussions  
The main drawback of the existing supervised classification methods, mostly based on fuzzy logic, is a significant dependency on a presumed electromagnetic behavior of different hydrometeor types.  ...  The method has been applied on three C-band datasets, each acquired by different operational radar from the MeteoSwiss Rad4Alp network, as well as on an X-band dataset acquired by a research radar.  ...  Particularly, we would like to emphasise the help of Marco Boscacci and Daniel Wolfensberger, whose support was very handy in dealing with such a diverse dataset as the one used in the presented research  ... 
doi:10.5194/amt-2016-105 fatcat:utfrrti3cfag3dhpvrvcc25qfe

Geomatics in Ecosystem Assessment and Management [chapter]

Rui-bo Han, Jun-kuo Cao, Sheng-Quan Ma
2014 Advances in Intelligent Systems and Computing  
The development of Geomatics in recent years has been revolutionized by rapid advances in computer hardware and software.  ...  The chapter conducts a review of the Geomatics technologies and their application in a practical framework for ecosystem assessment and management.  ...  Acknowledgments The authors would like to thank International Science and Technology Cooperation Program of China (2012DFA11270) and Hainan International Cooperation Key Project (GJXM201105) for the support  ... 
doi:10.1007/978-3-319-03449-2_2 fatcat:jchw2tlntbbu5hzfd4xnscg2ty

Performance evaluation of fusion rules for multitarget tracking in clutter based on generalized data association

J. Dezert, A. Tchamova, T. Semerdjiev, P. Konstantinova
2005 2005 7th International Conference on Information Fusion  
Most of tracking methods including Target Identification (ID) or attribute information are based on classical tracking algorithms as PDAF, JPDAF, MHT, IMM, etc and either on the Bayesian estimation and  ...  In this paper we pursue ourprevious works on the development of a new GDA-M7T based on Dezert-Smarandache Theory (DSmT) but compare also it with standard fusion rules (Demspter's, Dubois & Prade's, Yager's  ...  According to the fuzzy rules in [24, 27] , defining the correspondence between Radar Cross Section values and the respective targets' types, the confusion matrix in tenns of the second frame of hypotheses  ... 
doi:10.1109/icif.2005.1591958 fatcat:bobufn6oq5cabottitrxmizrre

Fuzzy classification trees for data analysis

I-Jen Chiang, Jane Yung-jen Hsu
2002 Fuzzy sets and systems (Print)  
For example, there are usually uncertainties in diagnoses based on data from biochemical laboratory examinations. Such uncertainties make the prediction be more di cult than noise-free data.  ...  Fuzzy classiÿcation trees is a new model that integrates the fuzzy classiÿers with decision trees, that can work well in classifying the data with noise.  ...  A tree classiÿer determines the class of an instance based on a sequence of tests on its attributes.  ... 
doi:10.1016/s0165-0114(01)00212-3 fatcat:qiaw64xegfc3hexspsgd4mx2em

Fuzzy region assignment for visual tracking

Jesus Garcia, Miguel A. Patricio, Antonio Berlanga, Jose M. Molina
2011 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
In this work we propose a new approach based on fuzzy concepts and heuristic reasoning to deal with the visual data association problem in real time, considering the particular conditions of the visual  ...  of evaluated alternatives grows exponentially with the number of objects.  ...  smoothness criteria on target features and high-level constraints on tracking continuity.  ... 
doi:10.1007/s00500-011-0698-z fatcat:iynweqtjgjfdvpghhfnny7vkui

MATURITY ASSESSMENT OF SOCIAL CUSTOMER KNOWLEDGE MANAGEMENT (SCKM) USING FUZZY EXPERT SYSTEM

Behzad LAK, Jalal REZAEENOUR
2018 Journal of Business Economics and Management  
This research examined the maturity assessment of SCKM utilizing a fuzzy expert system. It consisted of a-four-stage procedure.  ...  Results showed that the studied organization has covered 48.2% of maturity on the first level and 51.8% on the second level.  ...  Based on the results of this test, the maturity level of each in indicator is specified.  ... 
doi:10.3846/16111699.2018.1427620 fatcat:i6cdnggahneezdmpvojtfvwlpe

Development of a co-operative distributed process mining system for quality assurance

G. T. S. Ho, H. C. W. Lau, S. K. Kwok, C. K. M. Lee, W. Ho
2008 International Journal of Production Research  
An example of implementation is given, based on the case of slider manufacturer.  ...  This method incorporates the concept of data mining and knowledge refinement into decision making process for ensuring "doing the right things" within the workflow.  ...  Acknowledgements The authors wish to thank the Research Office of the Hong Kong Polytechnic University for the support of this research project.  ... 
doi:10.1080/00207540701441939 fatcat:fe6blm6nm5gypicamnqnofkgoa

A GIS-Based Fuzzy Decision Making Model for Seismic Vulnerability Assessment in Areas with Incomplete Data

Mansoureh Sadrykia, Mahmoud Delavar, Mehdi Zare
2017 ISPRS International Journal of Geo-Information  
The proposed method emphasizes handling one of the important uncertainties in areas with incomplete data, namely the 'vagueness' of the existing knowledge about influences of the criteria on seismic vulnerability  ...  a modified integration of Analytical Hierarchy Process (AHP), fuzzy sets theory, and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) in a vector-based environment.  ...  Acknowledgments: The authors would like to thank all of the organizations listed in Table 2 . Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi6040119 fatcat:bxuah2fjcbcfdmcw33gmopolia

A multi-criteria decision analysis approach to assessing malaria risk in northern South America

Temitope O. Alimi, Douglas O. Fuller, Socrates V. Herrera, Myriam Arevalo-Herrera, Martha L. Quinones, Justin B. Stoler, John C. Beier
2016 BMC Public Health  
Conclusion: In this study, we produced risk maps based on expert opinion on the spatial representation of risk of potential vector exposure and malaria transmission.  ...  Methods: The risk of malaria transmission and vector exposure in northern South America was assessed using multi-criteria decision analysis, in which expert opinions were taken on the key environmental  ...  Acknowledgements We wish to thank Chris Hanson of the Geospatial Laboratory, University of Miami for providing resource and technical assistance.  ... 
doi:10.1186/s12889-016-2902-7 pmid:26940004 pmcid:PMC4778356 fatcat:cs5gfsq3pjh5lpob3b5lvx4hea

Multi-sensor Data Fusion Based on Belief Functions and Possibility Theory: Close Range Antipersonnel Mine Detection and Remote Sensing Mined Area Reduction [chapter]

Nada Milisavljevic, Isabelle Bloch, Marc Acheroy
2008 Humanitarian Demining  
For mined area reduction, three approaches are shown, two of them based on the belief functions and one based on the fuzzy logic.  ...  They are also illustrated using real data of synthetic-aperture radar and multi-spectral sensors, collected within the EU project on space and airborne mined area reduction tools (SMART).  ...  These methods are based on the belief functions as well as on the fuzzy/possibility theory.  ... 
doi:10.5772/5410 fatcat:smek4osccrfwxfhrxer5o36bom

Data Science: Measuring Uncertainties

Carlos Alberto de Braganca Pereira, Adriano Polpo, Agatha Sacramento Rodrigues
2020 Entropy  
With the increase in data processing and storage capacity, a large amount of data is available [...]  ...  [10] constructed a decision-making model based on intuitionistic fuzzy cross-entropy and a comprehensive grey correlation analysis algorithm.  ...  The hybrid weighting method comprising the fuzzy time series, and Heikin-Ashi candlestick was employed for determining the weights of the indicators in the multi-criteria decision-making process.  ... 
doi:10.3390/e22121438 pmid:33419285 fatcat:27xyg3zt6zbexconqhakmvzjbq

Geo-spatial Technology for Landslide Hazard Zonation and Prediction [chapter]

Dericks P. Shukla, Sharad Gupta, Chandra S. Dubey, Manoj Thakur
2016 Environmental Applications of Remote Sensing  
There are various methods for the preparation of LSZ maps such as based on Fuzzy logic, Artificial Neural Network, Discriminant Analysis, Direct Mapping, Regression Analysis, Neuro-Fuzzy approach and other  ...  However, one technique that gives very high accuracy in certain might not be applicable to other parts of the world due to change in various factors, weights and ratings.  ...  Yogita Garbyal of Department of Geology, University of Delhi for carrying out the geological field mapping and figure preparations of this study area.  ... 
doi:10.5772/62667 fatcat:xjyf7gr2fbdipi43qcafajabmy

Review on the Architecture, Algorithm and Fusion Strategies in Ensemble Learning

Shruti Asmita, K.K. Shukla
2014 International Journal of Computer Applications  
Groups of people can often make better decisions than individuals especially when group members come in with their own biases.  ...  In the last part an analysis of ensemble learning algorithms on the basis on Bias and Variance is included.  ...  Fuzzifier maps crisp input values to fuzzy values, fuzzy rule base is a set of IF-THEN rules used for decision evaluation, fuzzy inference engine maps fuzzy input to the rule base to generate fuzzy output  ... 
doi:10.5120/18932-0337 fatcat:ienitsbogrevlll2rd7jlfr6ry

A Meta-Model Architecture for Fusing Battlefield Information

Patrick J. Driscoll, Steven J. Henderson
2006 Military Operations Research  
of tactical decision-making.  ...  Second, we demonstrate the feasibility of a completely automated system performing effective estimation of force operational states based on sensor data alone using a new web-based interactive tactical  ...  This implementation designates each of the five possible operational states as one of five hypotheses.  ... 
doi:10.5711/morj.11.1.27 fatcat:paf5irgi2vbo3phrqvaxikmk7m
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