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Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach
2016
Atmospheric Measurement Techniques
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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
2016
Atmospheric Measurement Techniques Discussions
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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]
2014
Advances in Intelligent Systems and Computing
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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
2005
2005 7th International Conference on Information Fusion
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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
2002
Fuzzy sets and systems (Print)
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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
2011
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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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
2018
Journal of Business Economics and Management
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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
2008
International Journal of Production Research
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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
2017
ISPRS International Journal of Geo-Information
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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
2016
BMC Public Health
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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]
2008
Humanitarian Demining
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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
2020
Entropy
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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]
2016
Environmental Applications of Remote Sensing
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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
2014
International Journal of Computer Applications
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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
2006
Military Operations Research
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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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