Title
Error propagation in a fuzzy logic multi-criteria evaluation for petroleum exploration.
Abstract
This article applies error propagation in a Monte Carlo simulation for a spatial-based fuzzy logic multi-criteria evaluation MCE in order to investigate the output uncertainty created by the input data sets and model structure. Six scenarios for quantifying uncertainty are reviewed. Three scenarios are progressively more complex in defining observational data attribute uncertainty; while three other scenarios include uncertainty in observational data position of boundaries between map units, weighting of evidence fuzzy membership assignment, and evaluating changes in the MCE model fuzzy logic operators. A case study of petroleum exploration in northern South America is used. Despite the resources and time required, the best estimate of input uncertainty is that based on expert-defined values. Uncertainties for fuzzy membership assignment and boundary transition zones do not affect the results as much as the attribute assignment uncertainty. The MCE fuzzy logic operator uncertainty affects the results the most. Confidence levels of 95% and 60% are evaluated with threshold values of 0.7 and 0.5 and show that accepting more uncertainty in the results increases the total area available for decision-making. Threshold values and confidence levels should be predetermined, although a series of combinations may yield the best decision-making support.
Year
DOI
Venue
2016
10.1080/13658816.2016.1142547
International Journal of Geographical Information Science
Keywords
Field
DocType
Error propagation, multi-criteria evaluation, fuzzy logic, spatial decision support system, spatial analysis, Monte Carlo simulation
Data mining,Propagation of uncertainty,Defuzzification,Fuzzy set operations,Computer science,Fuzzy logic,Sensitivity analysis,Uncertainty analysis,Artificial intelligence,Fuzzy number,Membership function,Machine learning
Journal
Volume
Issue
ISSN
30
8
1365-8816
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
L. Bingham100.34
A. Escalona200.34
Derek Karssenberg311216.11