Sciweavers

386 search results - page 14 / 78
» Interval Valued QL-Implications
Sort
View
RC
2007
148views more  RC 2007»
13 years 8 months ago
Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms
In statistical analysis of measurement results, it is often necessary to compute the range [V , V ] of the population variance V = 1 n · n i=1 (xi −E)2 (where E = 1 n · n i=1 ...
Gang Xiang, Martine Ceberio, Vladik Kreinovich
EUSFLAT
2003
125views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
On convex-concave perception based functions
Perception based function (PBF) is given by the set of rules Ri:“If X is Ti then Y is Si”, where Ti is a linguistic term describing some fuzzy intervals Ai on the domain of re...
Ildar Z. Batyrshin, Aleksandra Panova
SIGMOD
2001
ACM
160views Database» more  SIGMOD 2001»
14 years 9 months ago
Adaptive Precision Setting for Cached Approximate Values
Caching approximate values instead of exact values presents an opportunity for performance gains in exchange for decreased precision. To maximize the performance improvement, cach...
Chris Olston, Boon Thau Loo, Jennifer Widom
PARA
2004
Springer
14 years 2 months ago
New Algorithms for Statistical Analysis of Interval Data
It is known that in general, statistical analysis of interval data is an NP-hard problem: even computing the variance of interval data is, in general, NP-hard. Until now, only one ...
Gang Xiang, Scott A. Starks, Vladik Kreinovich, Lu...
WSC
1996
13 years 10 months ago
Experimental Evaluation of Confidence Interval Procedures in Sequential Steady-State Simulation
Sequential analysis of simulation output is generally accepted as the most efficient way for securing representativeness of samples of collected observations. In this scenario a s...
Donald C. McNickle, Krzysztof Pawlikowski, Gregory...