Result 1 to 20 of 38 total
Convergence speed of binary interval consensus. (English)
SIAM J. Control Optim. 50, No. 3, 1087-1109 (2012).
1
Trapezoidal approximation and aggregation. (English)
Fuzzy Sets Syst. 177, No. 1, 45-59 (2011).
2
A score test for association of a longitudinal marker and an event with missing data. (English)
Biometrics 66, No. 3, 726-732 (2010).
3
Generalized confidence interval for the slope in linear measurement error model. (English)
J. Stat. Comput. Simulation 80, No. 8, 927-936 (2010).
4
A new approach of Romero’s extended lexicographic goal programming: fuzzy extended lexicographic goal programming. (English)
Soft Comput. 14, No. 11, 1217-1226 (2010).
5
Algorithms for trapezoidal approximations of fuzzy numbers preserving the expected interval. (English)
Bouchon-Meunier, B. (ed.) et al., Foundations of reasoning under uncertainty. Papers based on the presentations at the 2008 conference on information processing and management of uncertainty (IPMU), Málaga, Spain, June 22‒27, 2008. Berlin: Springer (ISBN 978-3-642-10726-9/hbk; 978-3-642-10728-3/ebook). Studies in Fuzziness and Soft Computing 249, 85-98 (2010).
6
Robust confidence intervals for the Bernoulli parameter. (English)
Commun. Stat., Theory Methods 38, No. 19, 3544-3560 (2009).
7
Optimal test interval for a monotone safety system. (English)
J. Appl. Probab. 46, No. 2, 330-341 (2009).
8
Trapezoidal approximations of fuzzy numbers preserving the expected interval ‒ algorithms and properties. (English)
Fuzzy Sets Syst. 159, No. 11, 1354-1364 (2008).
9
Trapezoidal and triangular approximations preserving the expected interval. (English)
Fuzzy Sets Syst. 159, No. 11, 1345-1353 (2008).
10
Trapezoidal approximations of fuzzy numbers ‒ revisited. (English)
Fuzzy Sets Syst. 158, No. 7, 757-768 (2007).
11
Confidence intervals for quantiles and tolerance intervals based on ordered ranked set samples. (English)
Ann. Inst. Stat. Math. 58, No. 4, 757-777 (2006).
12
The interval approximation of a fuzzy number with respect to index of fuzziness. (English)
An. Univ. Oradea, Fasc. Mat. 12, 25-40 (2005).
13
Solving a multiobjective possibilistic problem through compromise programming. (English)
Eur. J. Oper. Res. 164, No. 3, 748-759 (2005).
14
An extension of Gleason’s theorem for quantum computation. (English)
Int. J. Theor. Phys. 43, No. 7-8, 1827-1840 (2004).
15
Weighted fuzzy averages in fuzzy environment. II: Generalized weighted fuzzy expected values in fuzzy environment. (English)
Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 11, No. 2, 159-172 (2003).
16
Weighted fuzzy averages in fuzzy environment. I: Insufficient expert data and fuzzy averages. (English)
Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 11, No. 2, 139-157 (2003).
17
An analysis of expected utility based on fuzzy interval data. (English)
Tanino, Tetsuzo (ed.) et al., Multi-objective programming and goal-programming. Theory and applications. Proceeedings of the conference MOPGP’02, Nara, Japan, June 4‒7, 2002. Berlin: Springer (ISBN 3-540-00653-2/pbk). Advances in Soft Computing, 289-294 (2003).
18
Statistical analysis of exponential lifetimes under an integrated type-II interval censoring scheme. (English)
J. Stat. Comput. Simulation 72, No.6, 461-471 (2002).
19
Parameter estimations based on exponential progressive type II censored data with binomial removals. (English)
Int. J. Inf. Manage. Sci. 13, No. 3, 37-46 (2002).
20
Result 1 to 20 of 38 total
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