Fuzzy kappa for the agreement measure of fuzzy classifications

Neurocomputing

Volumn 70, Issue 4-6, 2007, Pages 726-734

  Dou, Weibei ^a,b   Ren, Yuan ^a   Wu, Qian ^a   Ruan, Su ^c   Chen, Yanping ^d   Bloyet, Daniel ^b   Constans, Jean Marc ^e  

^a TSINGHUA UNIVERSITY   (China)

^b Centre National de la Recherche Scientifique   (France)

^c UNIVERSITÉ DE REIMS CHAMPAGNE ARDENNE   (France)

^d FIRST MILITARY MEDICAL UNIVERSITY   (China)

^e CAEN UNIVERSITY HOSPITAL   (France)

Author keywords

Agreement; Assessment; Brain tissue; Classification; Evaluation; Fuzzy; Kappa statistic; MRI; Similarity

Indexed keywords

MAGNETIC RESONANCE IMAGING; MATHEMATICAL TRANSFORMATIONS; MEMBERSHIP FUNCTIONS; PROBABILITY DISTRIBUTIONS; SET THEORY; STATISTICAL METHODS;

BRAIN TISSUE; FUZZY CLASSIFICATION; FUZZY KAPPA; KAPPA STATISTIC;

FUZZY SETS;

ARTICLE; BRAIN TISSUE; CONTROLLED STUDY; FUZZY SYSTEM; IMAGE ANALYSIS; IMAGE PROCESSING; INTERMETHOD COMPARISON; KAPPA STATISTICS; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY;

EID: 33846098348     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.10.007     Document Type: Article

References (27)

1. Baraldi A., Bruzzone L., and Blonda P. Quality assessment of classification and cluster maps without ground truth knowledge. IEEE Trans. Geosci. Remote Sensing 43 4 (2005) 857-873
2. Berry C.C. The Kappa statistic. J. Am. Med. Assoc. 268 18 (1992) 2513
3. Carletta J. Assessing agreement on classification tasks: the Kappa statistic. Comput. Linguist. 22 2 (1996) 249-254
4. Chen S.-M. Measures of similarity between vague sets. Fuzzy Sets and Systems 74 (1995) 217-223
5. D. Chen, K. Sirlantzis, D. Hua, X. Ma, On the relation between dependence and diversity in multiple classifier systems, Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05).
6. A. Cocosco, V. Kollokian, R.K.-S. Kwan, A.C. Evans, Brain Web: Online interface to a 3D MRI simulated brain database, Available at http://www.bic.mni.mcgill.ca/brainweb.
7. Cohen J. A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 20 (1960) 37-46
8. J. Cohen, This week's citation classic-a coefficient of agreement for nominal scales, Current contents/Number 3 January 20, (1986) 18.
9. W. Dou, S. Ruan, D. Bloyet, J.-M. Constans, Y. Chen, Segmentation based on information fusion applied to brain tissue on MRI, SPIE-IST Electronic Imaging, vol. 5298, 2004, pp. 492-503.
10. Fleiss J.L. Statistical Methods for Rates and Proportions. second ed. (1981), Wiley, New York
11. S. Fritz, L. See, Improving quality and minimising uncertainty of land cover maps using fuzzy logic, In: Proceedings of the 12th Annual Conference on GIS Research (GISRUK 2004), University of East Anglia, Norwich, UK, 28-30 April 2004.
12. Goldman L.R. The Kappa statistic-in reply. J. Am. Med. Assoc. 268 18 (1992) 2513-2514
13. Greene J.O., and Cappella J.N. Cognition and talk: the relationship of semantic units to temporal patterns of fluency in spontaneous speech. Lang. Speech 29 2 (1986) 141-157
14. Hagen A. Fuzzy set approach to assessing similarity of categorical maps. Int. J. Geogr. Inf. Sci. 17 (2003) 235-249
15. Hripcsak G., and Heitjan D.F. Measuring agreement in medical informatics reliability studies. J. Biomed. Inf. 35 (2002) 99-110
16. Hyung L.K., Song Y.S., and Lee K.M. Similarity measure between fuzzy sets and between elements. Fuzzy Sets and Systems 62 (1994) 291-293
17. Jung H.-W. Evaluating interrater agreement in SPICE-based assessments. Comput. Stand. Interfaces 25 (2003) 477-499
18. Kraemer H.C. Extension of the Kappa coefficient. Biometrics 36 (1980) 207-216
19. Krippendorff K. Content Analysis: An Introduction to its Methodology (1980), Sage Publications, Beverley Hills, CA
20. McIver D.K., and Friedl M.A. Estimation pixel-scale land cover classification confidence using nonparametric machine learning methods. IEEE Trans. Geosci. Remote Sensing 39 9 (2001) 1959-1968
21. Robertson M.P., Villet M.H., and Palmer A.R. A fuzzy classification technique for predicting species' distributions: applications using invasive alien plants and indigenous insects. Diversity Distrib. 10 (2004) 461-474
22. Ruan S., Moretti B., Fadili J., and Bloyet D. Fuzzy merkovian segmentation in application of magnetic resonance images. Comput. Vision Image Understanding 85 (2002) 54-69
23. Siegel S., and Castellan Jr. N.J. Nonparametric Statistics for the Behavioral Sciences. second ed. (1988), McGraw-Hill, New York
24. Soeken K., and Prescott P. Issues in the use of Kappa to assess reliablility. Med. Care 24 (1986) 733-743
25. S. Sousa, S. Caeiro, R.G. Pontius Jr., M. Painho, Sado estuary management areas: hard versus soft classification maps comparison, Conference Proceedings of Coastal GIS 2003, Fifth International Symposium on GIS and Computer Cartography for Coastal Zone Management, Genova, Italy, Geographical Information Systems International Group and ISSOPS International Center of Coastal and Ocean Policy Studies.
26. Taylor R.W., and Reeves A.P. Classification quality assessment for a generalized model-based object identification system. IEEE Trans. Sys. Man Cybern. 19 4 (1989) 861-866
27. Thomsen N.O.B., Olsen L.H., and Nielsen S.T. Kappa statistics in the assessment of observer variation: the significance of multiple observers classifying ankle fractures. J. Orthop. Sci. 7 (2002) 163-166