DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface List of Figures List of Tables Process . Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Conditional Trees Decision Trees Hierarchical Clustering Kernel Methods K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining Open Products Borgelt Data Mining Suite R Rattle Weka Closed Products C4.5 Clementine Enterprise Miner Equbits Foresight GhostMiner InductionEngine ODM Statistica Data Miner TreeNet Virtual Predict Appendicies Glossary Bibliography Index

F

Fuzzy Expert System: Uses Fuzzy Logic instead of Boolean Logic for reasoning in an Expert Systems.

Fuzzy Logic: Introduced by Dr. Lotfi Zadeh of UCB around 1960. A superset of conventional Boolean logic that allows truth values in the interval , instead of just the set with a rigorous set of mathematical operations that define how the logic system works. The most common definitions for the basic operations are:

where x and y are truth values (degree of belief, degree of membership).

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