Add to ORKGAbstract. Real quantitative data and other valuable informations are often not precise numbers but more or less non-precise. This kind of uncertainty is also called fuzziness, and the related information is called fuzzy informa-tion. The best up-to-date description of this kind of data is by so-called ”fuzzy numbers”. In order to include such data in databases the databases have to be able to store fuzzy num-bers in a suitable way. 1
Information in real-world applications is often vague, imprecise and uncertain. Ignoring the inhere...
Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and ...
hunguyen nmsuedu fmkoshvladikg csutepedu olga eceutepedu In many reallife situations we cannot di r...
When the available information is imperfect, it is often desirable to represent it in the database, ...
summary:The development of effective methods of data processing belongs to important challenges of m...
Information systems have evolved to the point where it is desirable to capture the vagueness and unc...
A Fuzzy logic (FL) provides a remarkably simple way to draw definite conclusions from vague, ambiguo...
A Fuzzy logic (FL) provides a remarkably simple way to draw definite conclusions from vague, ambiguo...
AbstractIt is known that processing of data under general type-1 fuzzy uncertainty can be reduced to...
summary:The development of effective methods of data processing belongs to important challenges of m...
summary:The development of effective methods of data processing belongs to important challenges of m...
Fuzzy numbers are a mathematical concept used to deal with uncertainty in decision-making. They are ...
Data are frequently not precise numbers but more or less non-precise, also called fuzzy. Before ana...
In practice, we often come across situations where it is necessary to make decisions based on incomp...
Describes i) necessity of fuzzy DataBase ii) techniques used in the storage and retrieval of fuzzy d...
Information in real-world applications is often vague, imprecise and uncertain. Ignoring the inhere...
Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and ...
hunguyen nmsuedu fmkoshvladikg csutepedu olga eceutepedu In many reallife situations we cannot di r...
When the available information is imperfect, it is often desirable to represent it in the database, ...
summary:The development of effective methods of data processing belongs to important challenges of m...
Information systems have evolved to the point where it is desirable to capture the vagueness and unc...
A Fuzzy logic (FL) provides a remarkably simple way to draw definite conclusions from vague, ambiguo...
A Fuzzy logic (FL) provides a remarkably simple way to draw definite conclusions from vague, ambiguo...
AbstractIt is known that processing of data under general type-1 fuzzy uncertainty can be reduced to...
summary:The development of effective methods of data processing belongs to important challenges of m...
summary:The development of effective methods of data processing belongs to important challenges of m...
Fuzzy numbers are a mathematical concept used to deal with uncertainty in decision-making. They are ...
Data are frequently not precise numbers but more or less non-precise, also called fuzzy. Before ana...
In practice, we often come across situations where it is necessary to make decisions based on incomp...
Describes i) necessity of fuzzy DataBase ii) techniques used in the storage and retrieval of fuzzy d...
Information in real-world applications is often vague, imprecise and uncertain. Ignoring the inhere...
Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and ...
hunguyen nmsuedu fmkoshvladikg csutepedu olga eceutepedu In many reallife situations we cannot di r...