Using gradual numbers to analyze non-monotonic functions of fuzzy intervals
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[1] T. Sunaga. Theory of an interval algebra and its application to numerical analysis , 2009 .
[2] Weldon A. Lodwick,et al. Interval and Fuzzy Analysis: A Unified Approach , 2007 .
[3] G. Black,et al. Probabilities , 1875, The American journal of dental science.
[4] J. Walz,et al. An approximate method for calculating depletion and structural interactions between colloidal particles. , 2003, Journal of colloid and interface science.
[5] Vladik Kreinovich. Probabilities, Intervals, What Next? Optimization Problems Related to Extension of Interval Computations to Situations with Partial Information about Probabilities , 2004, J. Glob. Optim..
[6] Didier Dubois,et al. Gradual Numbers and Their Application to Fuzzy Interval Analysis , 2008, IEEE Transactions on Fuzzy Systems.
[7] Stephen J. Wright,et al. Numerical Optimization (Springer Series in Operations Research and Financial Engineering) , 2000 .
[8] Didier Dubois,et al. A generalized vertex method for computing with fuzzy intervals , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).
[9] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[10] W.A. Lodwick,et al. A comparison of interval analysis using constraint interval arithmetic and fuzzy interval analysis using gradual numbers , 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.
[11] Ramon E. Moore. Interval arithmetic and automatic error analysis in digital computing , 1963 .