In the paper aspects of negative information and of information symmetry in context of uncertain information processing is considered. Both aspects are presented in frames of fuzzy sets theory involved in data aggregation and decision making process. Asymmetry of classical fuzziness and its orientation to positive information are pointed out. The direct dependence of symmetry of uncertain infor...

Current needs of industry required the development of advanced database models like mobile databases, active databases, and fuzzy databases. Fuzzy concepts are adapted to the eld of databases in order to deal with ambiguous, uncertain data. Fuzziness comes into picture in mobile databases especially with moving objects. Incorporating fuzziness into rules would improve the eeectiveness of active...

-Structured Query Language (SQL) is a very powerful too, but it is unable to satisfy needs for data selection based on linguistic expressions and degree of truth. As we know that the information in real-world applications is often vague, imprecise and uncertain. Fuzzy logic breaks the rigid crisp logic boundaries and allows decision to be taken in a more realistic manner. In database context, s...

There are many situations for statistical process in which we have both random and vagueinformation. When uncertainty is due to fuzziness of information, fuzzy statistical control charts play animportant role in the monitoring process, because they simultaneously deal with both kinds of uncertainty.Dealing with fuzzy characteristics using classical methods may cause the loss of information and ...

A method for determining the parameters of a fuzzy discriminant function from set diagnostic test results is considered. These tests are basis training sample controlling level knowledge in nominal rating scales automated learning systems. The fuzziness measuring solving control problems, as well classification objects sample, taken into account. has specific versatility and allows building sim...

In many scientific and engineering applications, the fuzzy set concept plays an important role. The fuzziness appears when we need to perform, on manifold, calculations with imprecision variables. The fuzzy set theory was introduced initially by Zadeh [1] in 1965. In the theory and applications of fuzzy sets, convexity is a most useful concept. In fact, in the basic and classical paper [1], Zad...