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A fuzzy logic-based expert system for substrate selection for soil construction in land reclamation

Fernando Basquiroto de Souza, Émilin de Jesus Casagrande de Souza, Merisandra Côrtes de Mattos Garcia, Kristian Madeira
2018 REM: International Engineering Journal  
The Fleiss' Kappa coefficient, which compares all opinions together, was 0.30.  ...  The results of the Kappa coefficients vary between significant (0.61 to 0.80) and reasonable (0.21-0.40), and among all the experts (Fleiss' Kappa), the results were also reasonable (LAN-DIS AND KOCH,  ... 
doi:10.1590/0370-44672017710155 fatcat:5lvykrm4f5d7df7greakvwdyqm

Inter-Coder Agreement in One-to-Many Classification: Fuzzy Kappa

Andrei P. Kirilenko, Svetlana Stepchenkova, Fabio Rapallo
2016 PLoS ONE  
The inter-coder agreement is estimated by making two or more coders to classify the same data units, with subsequent comparison of their results.  ...  Building on the existing approaches to one-to-many coding in geography and biomedicine, such measure, fuzzy kappa, which is an extension of Cohen's kappa, is proposed.  ...  For simplification, we assume that two coders participate in the classification (N r = 2); however, the analysis can be extended to any number of coders, with Cohen's kappa being replaced with Fleiss'  ... 
doi:10.1371/journal.pone.0149787 pmid:26933956 pmcid:PMC4775035 fatcat:5l5slm6lqvcyfclfjm5zbrf3xu

Hyperspectral image classification using an unsupervised neuro-fuzzy system

Fang Qiu
2012 Journal of Applied Remote Sensing  
An unsupervised neuro-fuzzy system, Gaussian fuzzy self-organizing map (GFSOM), is proposed for hyperspectral image classification.  ...  We also explore the potential for hyperspectral image analysis of three other artificial intelligence (AI)-based unsupervised techniques popular for multispectral image analysis: self-organizing map (SOM  ...  According to Fleiss, 27 Kappa coefficients larger than 0.75 suggest strong agreement. Landis and Koch 28 suggest that Kappa coefficients larger than 0.81 indicate an almost perfect agreement.  ... 
doi:10.1117/1.jrs.6.063515 fatcat:l7nqrwhddrcvzjgkidpn4qu4rq

Urban growth models and calibration methods: a case study of Athens, Greece

Pavlos Tsagkis
2022 Bulletin of Geography: Socio-Economic Series  
GIS spatial computations and data processing capabilities have given us the ability to draw more effective simulation results for increasingly complex scenarios.  ...  Most of these models have common objectives; however, they differ in terms of calibration and execution methodologies.  ...  However, editorial rules do not allow this because obtaining his consent for publication was no longer possible when the paper was completed.  ... 
doi:10.12775/bgss-2022-0008 fatcat:y4pfyry6h5flhdw3csi577gnea

Neuro-fuzzy Based Analysis of Hyperspectral Imagery

Fang Qiu
2008 Photogrammetric Engineering and Remote Sensing  
A neuro-fuzzy system, namely Gaussian Fuzzy Learning Vector Quantization (GFLVQ), was developed based on the synergy of a neural network and a fuzzy system.  ...  The results obtained from the improved neuro-fuzzy system were found to be significantly better than those from conventional statistics-based and endmember-based classifiers.  ...  Qi Li helped with the migration of the system from the UNIX system to the Windows ® environment.  ... 
doi:10.14358/pers.74.10.1235 fatcat:x4nd5pwrszhtjpldew2gcwrgmy

Opening the black box of neural networks for remote sensing image classification

F. Qiu, J. R. Jensen
2004 International Journal of Remote Sensing  
The learning algorithms of neural networks developed here are used to automate the derivation of fuzzy set parameters for the fuzzy 'if-then' rules in a fuzzy expert system.  ...  It incorporates the best of both technologies and compensates for the shortcomings of each.  ...  Annie Hsu and the reviewers of this manuscript. Their valuable comments were very constructive in improving the quality of the paper.  ... 
doi:10.1080/01431160310001618798 fatcat:bo42cgohnferjedifycjy47vhm

Breast Density Evaluation Using Spectral Mammography, Radiologist Reader Assessment, and Segmentation Techniques

Sabee Molloi, Huanjun Ding, Stephen Feig
2015 Academic Radiology  
The relative standard error of estimate for breast density measurements from left and right breasts using radiologist reader assessment, standard histogram thresholding, fuzzy C-mean algorithm and dual-energy  ...  Results-In comparison to the other techniques, the results of breast density measurements using dual-energy material decomposition showed the highest correlation.  ...  Statistical analysis Fleiss' Kappa was calculated to measure inter-reader variability in breast density ranking for different readers (39) .  ... 
doi:10.1016/j.acra.2015.03.017 pmid:26031229 pmcid:PMC4515382 fatcat:j2lcp3i63vhr3plhv7nrajeyki

Classification of Crop Yield Variability in Irrigated Production Fields

A. Dobermann, J. L. Ping, V. I. Adamchuk, G. C. Simbahan, R. B. Ferguson
2003 Agronomy Journal  
Procedures for classifying a sequence of yield maps surement error. For the same location, this uncertainty to delineate yield zones were evaluated in two irrigated maize (Zea mays L.) fields.  ...  Methods Procedures must be developed to correct or eliminate in which yield was empirically classified into three or four classes recognizable errors of yield monitor measurement and accounted for less  ...  The value of mapping yield goals as a basis for varying production inputs such as N fertilizer has been ques-  ... 
doi:10.2134/agronj2003.1105 fatcat:l4jf4fsninervfcxa5dc3etjpm

Polysomnographic pattern recognition for automated classification of sleep-waking states in infants

P. A. Estévez, C. M. Held, C. A. Holzmann, C. A. Perez, J. P. Pérez, J. Heiss, M. Garrido, P. Peirano
2002 Medical and Biological Engineering and Computing  
Several noise and artifact rejection methods were implemented, including filters, fuzzy quality indices, windows of variable sizes and detectors of limb movements and wakefulness.  ...  Results on a test set (2369 epochs from five recordings) show an overall agreement of 87.7% (kappa 0.840) between the automated system and the human expert.  ...  Acknowledgments-This work has been partially supported by the Department of Electrical Engineering and INTA, Universidad de Chile, and by grants from CONICYT-Chile (FONDECYT 1980909 and 1000657) and  ... 
doi:10.1007/bf02347703 pmid:11954697 fatcat:chyvllhmojhvnhzhkhd5msh25i

Automatic metadata mining from multilingual enterprise content

Melike Şah, Vincent Wade
2012 Journal of Web Semantics  
The proposed fuzzy inference system achieves improved results compared to a rulebased reasoner for difficulty metadata extraction (~11% enhancement).  ...  The user study showed that the proposed fuzzy-based method generates reasonably accurate values with an average precision of 89.39% on the metadata values of document difficulty, document interactivity  ...  Acknowledgements This research is supported by the Science Foundation Ireland (Grant 07/CE/I1142) as part of the Centre for Next Generation Localisation (www.cngl.ie) at University of Dublin, Trinity College  ... 
doi:10.1016/j.websem.2011.11.001 fatcat:sk7ba4wclffaxnd6d24psppdti

Automatic Metadata Mining from Multilingual Enterprise Content

Sah Melike, Vincent Wade
2012 Social Science Research Network  
The proposed fuzzy inference system achieves improved results compared to a rulebased reasoner for difficulty metadata extraction (~11% enhancement).  ...  The user study showed that the proposed fuzzy-based method generates reasonably accurate values with an average precision of 89.39% on the metadata values of document difficulty, document interactivity  ...  Acknowledgements This research is supported by the Science Foundation Ireland (Grant 07/CE/I1142) as part of the Centre for Next Generation Localisation (www.cngl.ie) at University of Dublin, Trinity College  ... 
doi:10.2139/ssrn.3198936 fatcat:zmwovaqlurdynfx6qh3vg4yaau

Shortcoming of Visual Interpretation of Cardiotocography: A Comparative Study with Automated Method and Established Guideline Using Statistical Analysis

Sahana Das, Himadri Mukherjee, Kaushik Roy, Chanchal K. Saha
2020 SN Computer Science  
Parameters of CTG were compared using fuzzy-logic-based algorithms developed by authors and the algorithm based on NICHD guidelines.  ...  For the overall classification of CTG, majority voting showed the disagreement between the clinicians.  ...  The parameters were classified using fuzzy-logic-based methods [26, 27] . Comparison of Quantitative Parameters Assessment of Classification using Kappa Measure The result is shown in Table 6 .  ... 
doi:10.1007/s42979-020-00188-x fatcat:mg6ahdukxnaztakd4npvqxhpwy

QADI as a New Method and Alternative to Kappa for Accuracy Assessment of Remote Sensing-Based Image Classification

Bakhtiar Feizizadeh, Sadrolah Darabi, Thomas Blaschke, Tobia Lakes
2022 Sensors  
The accuracy of the classified map is typically assessed through a comparison with real-world situations or with available reference data to estimate the reliability of the classification results.  ...  the difference in the pixel count for each class between the classified map and reference data as Q.  ...  0.95 Table 11 . 11 Comparison of QADI and Kappa values for a balanced distribution and a skewed distribution.  ... 
doi:10.3390/s22124506 fatcat:pdnkp7aaevhkniopeihi6v5yq4

A COMPARATIVE ANALYSIS OF ASSORTED DEEP AND MACHINE LEARNING TECHNIQUES FOR AUTOMATED EARLY DIAGNOSIS OF DIABETIC RETINOPATHY

Emmy Bhatti
2018 International Journal of Advanced Research in Computer Science  
Fundamental result measures were pervasiveness and predisposition balanced Fleiss' kappa (PABAK) of AI arranging of the rest of the 5% of the photos. [11] • (Eltanboly et al, 2016, A PC helped demonstrative  ...  The sack of-words display is normally utilized as a part of techniques for grouping of the archives where classifier is prepared with highlights considering the recurrence of event if the words.  Fuzzy  ... 
doi:10.26483/ijarcs.v9i1.5368 fatcat:45tvpqgi5fb6hizwuwku2t3lfq

Choosing between alternative placement strategies for conservation buffers using Borda count

Zeyuan Qiu, Michael G. Dosskey, Yang Kang
2016 Landscape and Urban Planning  
A 15 nonparametric kappa statistic (Fleiss et al., 2003) was computed for each pairwise comparison as 289 a statistical measure of agreement beyond chance for the degree to which the two scenarios place  ...  Kappa values greater than 0.75 suggest excellent agreement beyond chance, 292 values between about 0.75 and 0.40 suggest good to fair agreement, and values below 0.40 293 suggest poor agreement (Fleiss  ... 
doi:10.1016/j.landurbplan.2016.03.012 fatcat:ypbyvuutwndplowmjr2od5rv5q
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