Prediction of 9-1-1 call volumes for emergency event detection
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
Establishing relationships among patterns in stock market data
Data & Knowledge Engineering
Incorporating the Markov chain concept into fuzzy stochastic prediction of stock indexes
Applied Soft Computing
Integrate the GM(1,1) and Verhulst models to predict software stage effort
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Predicting software project effort: A grey relational analysis based method
Expert Systems with Applications: An International Journal
A dynamic threshold decision system for stock trading signal detection
Applied Soft Computing
Clustering based stocks recognition
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Nearest neighbor selection for iteratively kNN imputation
Journal of Systems and Software
Analyzing software effort estimation using k means clustered regression approach
ACM SIGSOFT Software Engineering Notes
Grey relational effort analysis technique using robust regression methods for individual projects
International Journal of Computational Intelligence Studies
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This paper presents a fuzzy stochastic prediction method for real-time predicting of stock prices. A complete contrast to the crisp stochastic method, it requires a fuzzy linguistic summary approach to computing parameters. This approach, which is found to be better than the gray prediction method, can eliminate outliers and limit the data to a normal condition for prediction, with a comparatively very small deviation of 4.5 percent.