Abstract
A better design and management of overall complexity of surface irrigation crucially depends on properly estimating hydraulic resistance. The concept of fuzzy hydraulic resistance families is introduced. Four 'genes' representing main field variables in surface irrigation are used to describe five hydraulic resistance families. A fuzzy-genetic approach is developed and applied to mining into field data with the purpose of extracting fuzzy classification rules related to each family. These rules are then used for an 'intelligent' classification of new field data.
| Original language | English |
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| Journal | Complexity International |
| Volume | 4 |
| Publication status | Published - 1997 |