Computing the variance of interval and fuzzy data

Author:

Spadoni Massimo,Stefanini Luciano

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference13 articles.

1. Dependable handling of uncertainty;Berleant;Reliable Computing,2003

2. Population variance under interval uncertainty: a new algorithm;Dantsin;Reliable Computing,2006

3. D. Dubois, H. Fargier, J. Fortin, A generalized vertex method for computing with fuzzy intervals, in: Proceedings of the IEEE International Conference of Fuzzy Systems, Budapest, 2004, pp. 541–546.

4. D. Dubois, H. Fargier, J. Fortin, The empirical variance of a set of fuzzy intervals, in: Proccedings of the 14-th IEEE International Conference of Fuzzy Systems, 2005, pp. 885–890.

5. Computing variance for interval data is NP-hard;Ferson;ACM SIGACT News,2002

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1. Fuzzy Dispersion Measures;Fuzzy Statistical Decision-Making;2016

2. A mathematical programming approach to sample coefficient of variation with interval-valued observations;TOP;2015-09-03

3. Statistical reasoning with set-valued information: Ontic vs. epistemic views;International Journal of Approximate Reasoning;2014-10

4. Statistical Reasoning with Set-Valued Information: Ontic vs. Epistemic Views;Towards Advanced Data Analysis by Combining Soft Computing and Statistics;2013

5. Symbolic Covariance Principal Component Analysis and Visualization for Interval-Valued Data;Journal of Computational and Graphical Statistics;2012-04

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