Interval methods in knowledge representation

被引:0
作者
Kreinovich V. [1 ]
机构
[1] Department of Computer Science, University of Texas at El Paso, El Paso
来源
International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems | 2010年 / 18卷 / 02期
关键词
Knowledge representation;
D O I
10.1142/S0218488510006507
中图分类号
学科分类号
摘要
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems informs about some of the interval methods that are used for knowledge representation. It is essential to use objective function, such as the value f(x0) and the result of the corresponding anti-optimization when solving an optimization problem of selecting the best design x0. It is essential for users to combine optimization and anti-optimization when solving the optimization problem of selecting the best design . A number of algorithms have been formulated to solve the corresponding structural design problems and several real-life applications of the corresponding techniques. The most conservative estimates are based on interval computations when the intervals of possible values of all the parameters are assumed to be known.
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页码:223 / 224
页数:1
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