M. Halkidi, Y. Batistakis, and M. Vazirgiannis, Clustering validity checking methods, ACM SIGMOD Record, vol.31, issue.3, 2002.
DOI : 10.1145/601858.601862

M. Halkidi, Y. Batistakis, and M. Vazirgiannis, Clustering validity checking methods, ACM SIGMOD Record, vol.31, issue.3, pp.19-27, 2002.
DOI : 10.1145/601858.601862

J. Beringer and E. Hüllermeier, Fuzzy clustering of parallel data streams, " in Advances in Fuzzy Clustering and Its Application, pp.333-352, 2007.

M. Windham, Cluster validity for the fuzzy c-means algorithm, IEEE Trans. Pattern Anal. Mach. Intell, vol.4, issue.4, pp.357-363, 1982.

X. Xie and G. Beni, A validity measure for fuzzy clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.8, pp.841-846, 1991.
DOI : 10.1109/34.85677

E. Hüllermeier and M. Rifqi, A fuzzy variant of the Rand index for comparing clustering structures, Proc. Int. Joint 2009 Fuzzy System Association World Congress and, pp.1294-1298, 2009.

R. Campello, A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment, Pattern Recognition Letters, vol.28, issue.7, pp.833-841, 2007.
DOI : 10.1016/j.patrec.2006.11.010

H. Frigui, C. Hwang, F. C. , and -. Rhee, Clustering and aggregation of relational data with applications to image database categorization, Pattern Recognition, vol.40, issue.11, pp.3053-3068, 2007.
DOI : 10.1016/j.patcog.2007.02.019

R. Brouwer, Extending the rand, adjusted rand and jaccard indices to fuzzy partitions, Journal of Intelligent Information Systems, vol.17, issue.3, pp.213-235, 2009.
DOI : 10.1007/s10844-008-0054-7

D. Anderson, J. Bezdek, M. Popescu, and J. Keller, Comparing Fuzzy, Probabilistic, and Possibilistic Partitions, IEEE Transactions on Fuzzy Systems, vol.18, issue.5, pp.906-918, 2010.
DOI : 10.1109/TFUZZ.2010.2052258

A. D. Luca and S. Termini, A definition of non-probabilistic entropy in the setting of fuzzy sets theory, Inf. Control, vol.24, pp.301-312, 1972.

U. Kaymak, H. Van-nauta, and . Lemke, A sensitivity analysis approach to introducing weight factors into decision functions in fuzzy multicriteria decision making, Fuzzy Sets and Systems, vol.97, issue.2, pp.169-182, 1998.
DOI : 10.1016/S0165-0114(96)00336-3

T. Runkler, Comparing Partitions by Subset Similarities, Proc. Information Processing and Management of Uncertainty, pp.29-38, 2010.
DOI : 10.1007/978-3-642-14049-5_4

B. D. Baets, S. Janssens, and H. D. Meyer, Meta-theorems on inequalities for scalar fuzzy set cardinalities, Fuzzy Sets and Systems, vol.157, issue.11, pp.1463-1476, 2006.
DOI : 10.1016/j.fss.2006.01.008

E. Ruspini, A new approach to clustering, Information and Control, vol.15, issue.1, pp.22-32, 1969.
DOI : 10.1016/S0019-9958(69)90591-9

N. Schmechel, On the isomorphic lattices of fuzzy equivalence relations and fuzzy partitions, Multi-Valued Logic, pp.1-46, 1996.

H. Thiele and N. Schmechel, On the mutual definability of fuzzy equivalence relations and fuzzy partitions, Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, pp.1383-1390, 1995.
DOI : 10.1109/FUZZY.1995.409861

R. Mesiar, B. Reusch, and H. Thiele, Fuzzy equivalence relations and fuzzy partitions, J. Multi-Valued Logic Soft Comput, vol.12, pp.167-181, 2006.

P. Jaccard, ´ etude comparative de la distribution florale dans une portion des Alpes et des Jura, Bulletin del la Société Vaudoise des Sciences Naturelles, vol.37, pp.547-579, 1901.

C. Alsina, On a family of connectives for fuzzy sets, Fuzzy Sets and Systems, vol.16, issue.3, pp.231-235, 1985.
DOI : 10.1016/0165-0114(85)90026-0

M. Kendall, Rank Correlation Methods., Biometrika, vol.44, issue.1/2, 1955.
DOI : 10.2307/2333282

J. Bezdek, Pattern Recognition With Fuzzy Objective Function Algorithm, 1981.
DOI : 10.1007/978-1-4757-0450-1

F. Höppner, F. Klawonn, F. Kruse, and T. Runkler, Fuzzy Cluster Analysis, 1999.

S. Garcia, A. Fernandez, J. Luengo, and F. Herrera, Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power, Information Sciences, vol.180, issue.10, pp.2044-2064, 2010.
DOI : 10.1016/j.ins.2009.12.010