Title :
Multi-interval elicitation of random intervals for engineering reliability analysis
Author_Institution :
Los Alamos Nat. Lab., NM
Abstract :
Random intervals are increasingly useful in engineering modeling, but are difficult to measure and elicit from experts. We present a method for constructing random intervals by eliciting simple "multiinterval" and trace information from investigators. By eliciting in addition to "how high" and "how low", simply also "how high and low might the min and max themselves be", we generate an equivalence class of possibility distributions, and in turn a canonical member of an equivalence class of random intervals
Keywords :
equivalence classes; fuzzy set theory; random processes; reliability theory; uncertainty handling; engineering reliability analysis; equivalence class; fuzzy sets; multiinterval elicitation; random intervals; uncertainty handling; Fuzzy logic; Fuzzy sets; Information theory; Laboratories; Random variables; Reliability engineering;
Conference_Titel :
Uncertainty Modeling and Analysis, 2003. ISUMA 2003. Fourth International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-7695-1997-0
DOI :
10.1109/ISUMA.2003.1236158