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Publikováno v:
FUZZ-IEEE
Fuzz-IEEE 2000-9th IEEE International Conference on Fuzzy Systems
Fuzz-IEEE 2000-9th IEEE International Conference on Fuzzy Systems, May 2000, San Antonio, United States. pp.483-487, ⟨10.1109/FUZZY.2000.838707⟩
Fuzz-IEEE 2000-9th IEEE International Conference on Fuzzy Systems
Fuzz-IEEE 2000-9th IEEE International Conference on Fuzzy Systems, May 2000, San Antonio, United States. pp.483-487, ⟨10.1109/FUZZY.2000.838707⟩
International audience; We propose a new method to use an incomplete rule base with imprecise descriptions of variables. We extend classical interpolative reasoning to this case, under the assumption of graduality in variations of the variables, by u
Publikováno v:
FUZZ-IEEE
Ninth IEEE International Conference on Fuzzy Systems. FUZZ-IEEE 2000, vol. 2 (Cat. No.00CH37063) ; ISBN: 0-7803-5877-5
9th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000)
9th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000), IEEE Neural Networks Council, May 2000, San Antonio (Texas), United States. pp.717--722, ⟨10.1109/FUZZY.2000.839120⟩
Ninth IEEE International Conference on Fuzzy Systems. FUZZ-IEEE 2000, vol. 2 (Cat. No.00CH37063) ; ISBN: 0-7803-5877-5
9th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000)
9th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000), IEEE Neural Networks Council, May 2000, San Antonio (Texas), United States. pp.717--722, ⟨10.1109/FUZZY.2000.839120⟩
International audience; This paper deals with the fuzzy project scheduling approach, where fuzzy intervals model uncertain durations of tasks. While it is easy to compute fuzzy earliest starting dates of tasks in the critical path method, the problem