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 -