Abstract
A description of quantitative dependencies by a novel type of fuzzy rules like 'If X is SMALL then Y is QUICKLY INCREASING' is considered. The use of such rules for representation of perception based and numerical information about dependencies between variables is discussed. These rules are based on a granulation of directions of function change or slope values. Perception based information given by rules is represented by a fuzzy function Y(X). A method of solution of a fuzzy equation Y(X) = B is considered. A linguistic representation of given numerical information about dependencies between variables X and Y is based on a fuzzy partition of the domain of X on fuzzy intervals, on a linear approximations of data on these intervals and on a linguistic retranslation of results. A genetic algorithm is used for obtaining fuzzy partitions. In conclusion, the possible applications of proposed methods in petroleum industry are discussed.
Original language | English |
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Pages (from-to) | 95-104 |
Number of pages | 10 |
Journal | Expert Systems with Applications |
Volume | 26 |
Issue number | 1 SPEC.ISS. |
DOIs | |
State | Published - Jan 2004 |
Externally published | Yes |
Keywords
- Computing with words
- Fuzzy relation
- Granular model
- Soft computing