Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures

Fuzzy Optimization and Decision Making - Tập 16 Số 3 - Trang 359-378 - 2017
Lê Hoàng Sơn1
1VNU University of Science, Vietnam National University, Hanoi, Vietnam

Tóm tắt

Từ khóa


Tài liệu tham khảo

Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, 87–96.

Chen, T. Y. (2013). An interactive method for multiple criteria group decision analysis based on interval type-2 fuzzy sets and its application to medical decision making. Fuzzy Optimization and Decision Making, 12(3), 323–356.

Cornelis, C., De Cock, M., & Kerre, E. E. (2003). Intuitionistic fuzzy rough sets: At the crossroads of imperfect knowledge. Expert systems, 20(5), 260–270.

Cuong, B. C. (2014). Picture fuzzy sets. Journal of Computer Science and Cybernetics, 30(4), 409–420.

Dey, V., Pratihar, D. K., & Datta, G. L. (2011). Genetic algorithm-tuned entropy-based fuzzy C-means algorithm for obtaining distinct and compact clusters. Fuzzy Optimization and Decision Making, 10(2), 153–166.

Ester, M., Kriegel, H. P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. Kdd, 96, 226–231.

Javed, K., Babri, H. A., & Saeed, M. (2014). Impact of a metric of association between two variables on performance of filters for binary data. Neurocomputing, 143, 248–260.

Krawczyk, B., & Woźniak, M. (2014). Diversity measures for one-class classifier ensembles. Neurocomputing, 126, 36–44.

Liu, H. C., Qin, J. T., Mao, L. X., & Zhang, Z. Y. (2015). Personnel selection using interval 2-tuple linguistic VIKOR method. Human Factors and Ergonomics in Manufacturing & Service Industries, 25(3), 370–384.

Meng, F., & Chen, X. (2016). Entropy and similarity measure for Atannasov’s interval-valued intuitionistic fuzzy sets and their application. Fuzzy Optimization and Decision Making, 15(1), 75–101.

Oussalah, M., & Nefti, S. (2008). On the use of divergence distance in fuzzy clustering. Fuzzy Optimization and Decision Making, 7(2), 147–167.

Smarandache, F. (2002). Neutrosophic set—A generalization of the intuitionistic fuzzy set. In Proceeding of 2006 IEEE international conference on granular computing, pp. 38–42.

Son, L. H. (2015). DPFCM: A novel distributed picture fuzzy clustering method on picture fuzzy sets. Expert Systems with Applications, 42(1), 51–66.

Thong, N. T., & Son, L. H. (2015). HIFCF: An effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis. Expert Systems with Applications, 42(7), 3682–3701.

Thong, P. H., & Son, L. H. (2014). A new approach to multi-variables fuzzy forecasting using picture fuzzy clustering and picture fuzzy rules interpolation method. In Proceeding of 6th international conference on knowledge and systems engineering, pp. 679–690.

UCI Machine Learning Repository. (2013). Heart disease. https://archive.ics.uci.edu/ml/datasets/Heart+Disease . Accessed May 20, 2015.

Vendramin, L., Campello, R. J., & Hruschka, E. R. (2010). Relative clustering validity criteria: A comparative overview. Statistical Analysis and Data Mining, 3(4), 209–235.

VnExpress. (2014). Confidence voting for Vietnam National Assembly. http://vnexpress.net/tin-tuc/thoi-su/ket-qua-lay-phieu-tin-nhiem-3107632.html . Accessed May 20, 2015.

Xu, Z. (2012). Fuzzy ordered distance measures. Fuzzy Optimization and Decision Making, 11(1), 73–97.

Xu, Z. (2012). Intuitionistic fuzzy clustering algorithms. In Intuitionistic fuzzy aggregation and clustering (pp. 159–267). Springer, Berlin.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.

Zhang, H. M., Xu, Z. S., & Chen, Q. (2007). On clustering approach to intuitionistic fuzzy sets. Control and Decision, 22, 882–888.