TY - GEN
T1 - Classifiers based on deterministic and inhibitory decision rules
AU - Delimata, Pawel
AU - Moshkov, Mikhail Ju
AU - Skowron, Andrzej
AU - Suraj, Zbigniew
PY - 2009
Y1 - 2009
N2 - In this chapter, we consider the following problem of classification (prediction): for a decision table T and a new object v, given by values of conditional attributes from T, it is required to generate a decision corresponding to v. We compare qualities of classifiers based on exact deterministic and inhibitory decision rules. The first type of classifiers is the following: for a given decision table we construct for each row an exact deterministic decision rule using the greedy algorithm. The obtained system of rules jointly with simple procedure of voting can be considered as a classifier. A deterministic rule, which is realizable for given object, is a vote "pro" the decision from the right-hand side of the rule.
AB - In this chapter, we consider the following problem of classification (prediction): for a decision table T and a new object v, given by values of conditional attributes from T, it is required to generate a decision corresponding to v. We compare qualities of classifiers based on exact deterministic and inhibitory decision rules. The first type of classifiers is the following: for a given decision table we construct for each row an exact deterministic decision rule using the greedy algorithm. The obtained system of rules jointly with simple procedure of voting can be considered as a classifier. A deterministic rule, which is realizable for given object, is a vote "pro" the decision from the right-hand side of the rule.
UR - http://www.scopus.com/inward/record.url?scp=51849133093&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85638-2_6
DO - 10.1007/978-3-540-85638-2_6
M3 - Conference contribution
AN - SCOPUS:51849133093
SN - 9783540856375
VL - 163
T3 - Studies in Computational Intelligence
SP - 81
EP - 86
BT - Inhibitory Rules in Data Analysis
ER -