Partial Covers, Reducts and Decision Rules in Rough Sets: Theory and ApplicationsThis book covers the theoretical and experimental study of partial reducts and partial decision rules on the basis of the study of partial covers. It details the results of numerous experiments with randomly generated and real-life decision tables. |
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المحتوى
1 | |
Partial Covers Reducts and Decision Rules | 7 |
Partial Covers Reducts and Decision Rules with Weights | 50 |
Construction of All Irreducible Partial Covers All Partial Reducts and All Irreducible Partial Decision Rules | 97 |
Experiments with RealLife Decision Tables | 117 |
Universal Attribute Reduction Problem | 135 |
FinalRemarks | 143 |
145 | |
149 | |
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عبارات ومصطلحات مألوفة
0.5-hypothesis 1-uniform a-cover a-test accuracy of classifiers algorithm with equal algorithm with thresholds attributes f1 binary decision tables binary information systems classifiers based Cmin(a columns labeled conditional attributes decision attribute decision rule problem DIS(T equal thresholds exact cover f1 f follows fraction of decision given decision table given set cover greedy algorithm chooses group of experiments inequality irreducible t-covers irreducible t-decision rules j-th row kr-vs-kp labeled with attributes Let us consider Let us denote Limin(a log2 n lymphography minimal cardinality minimal weight modification of greedy natural number NP-hard number of tables parameter partial decision rules partial reducts partial test polynomial algorithm polynomial approximate algorithms problem with weights Proof Proposition real number reducts and decision reducts and partial Results of experiments rough set rough set theory rows with numbers Sect set cover problem step number step the greedy subsets t-reducts Theorem tic-tac-toe tuple upper bound weight function