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M

main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.cbr.test.DomainMain
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.classifiers.meta.IIVotes
Main method for testing this class.
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.classifiers.meta.IVotes
Main method for testing this class.
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.classifiers.rule.Modlem
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.classifiers.rule.VCModLEM
Main method for testing this class.
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.executors.VCArcingVCdomLEM
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.executors.VCBaggingVCdomLEM
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.executors.VCBaggingWeka
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.executors.VCdomLEM
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.executors.Weka
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.filters.SWFilter
Main method for testing this class.
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.jmaf.reducts.ReductsExamplePair
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.lukiant.Workflow
 
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.test.DataSetShrinker
Main method allowing running this class
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.test.JRankExp
Main method allowing running this class
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.test.JSVMExp
Main method allowing running this class
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.utilities.MersenneTwisterFast
Tests the code.
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.wrappers.ApproximationsGenerator
Main method allowing running this class
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.wrappers.ARFFFilesGenerator
Main method allowing running this class
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.wrappers.ClassificationGenerator
Main method allowing running this class
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.wrappers.JRank
Main method allowing running this class
main(String[]) - Static method in class pl.poznan.put.cs.idss.jrs.wrappers.RulesGenerator
Main method allowing running this class
MajorityVotingAggregation - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.ensembles.EnsembleClassificationMethod
 
MajorityVotingBalancedMethod - Class in pl.poznan.put.cs.idss.jrs.classifiers.ensembles
Standard majority voting method extended to deal with DRSA classification.
MajorityVotingBalancedMethod(SimpleClassifierWrapper[]) - Constructor for class pl.poznan.put.cs.idss.jrs.classifiers.ensembles.MajorityVotingBalancedMethod
 
MajorityVotingMethod - Class in pl.poznan.put.cs.idss.jrs.classifiers.ensembles
Standard majority voting method extended to deal with DRSA classification.
MajorityVotingMethod(SimpleClassifierWrapper[]) - Constructor for class pl.poznan.put.cs.idss.jrs.classifiers.ensembles.MajorityVotingMethod
 
makeSnapshot() - Method in class pl.poznan.put.cs.idss.jrs.Settings
Makes a snapshot of all current settings
MalformedExampleException - Exception in pl.poznan.put.cs.idss.jrs.jmaf.parser
Class representing exception thrown when an example is malformed
MalformedExampleException(String) - Constructor for exception pl.poznan.put.cs.idss.jrs.jmaf.parser.MalformedExampleException
Constructs exception with given message
MAX_CREDIBILITY - Static variable in class pl.poznan.put.cs.idss.jrs.ranking.PreferenceGraphGenerator
Possible value of PreferenceGraphGenerator.fuzzySatisfactionDegreeCalculationMethod, denoting that each fuzzy satisfaction degree of any at least / at most relation in generated preference graph is determined by maximum credibility (best value of used rule consistency measure) among at least / at most certain / possible rules covering given pair of objects.
MAX_PRODUCT_OF_CREDIBILITY_AND_COVERAGE_FACTOR - Static variable in class pl.poznan.put.cs.idss.jrs.ranking.PreferenceGraphGenerator
Possible value of PreferenceGraphGenerator.fuzzySatisfactionDegreeCalculationMethod, denoting that each fuzzy satisfaction degree of any at least / at most relation in generated preference graph is calculated using the maximum product of credibility and coverage factor among at least / at most certain / possible rules covering given pair of objects.
MAXIMIZED - Static variable in class pl.poznan.put.cs.idss.jrs.rules.RuleMeasure
Constant indicating that rule measure should be maximized in order to obtain better decision rule
meanOrMode(int) - Method in class pl.poznan.put.cs.idss.jrs.classifiers.rule.Modlem
 
MEDIAN - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.Constants
 
MEDIAN - Static variable in class pl.poznan.put.cs.idss.jrs.ranking.RankingErrorCalculator
Flag used to indicate that error is calculated in the way that corresponds to using median as error minimizator at population level
MedianAggregation - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.ensembles.EnsembleClassificationMethod
 
MEMBERSHIP - Static variable in interface pl.poznan.put.cs.idss.jrs.core.isf.IsfParserConstants
RegularExpression Id.
MEMBERSHIP - Static variable in interface pl.poznan.put.cs.idss.jrs.jmaf.parser.RulesParserConstants
RegularExpression Id.
MEMORY_CONTAINER_DESCRIPTION - Static variable in class pl.poznan.put.cs.idss.jrs.utilities.Project
Description of memory container (see MemoryContainerDescription class).
MemoryContainer - Class in pl.poznan.put.cs.idss.jrs.core.mem
This class is used to store examples and attributes directly into memory.
MemoryContainer() - Constructor for class pl.poznan.put.cs.idss.jrs.core.mem.MemoryContainer
Prepares empty container.
MemoryContainerAttrManager - Class in pl.poznan.put.cs.idss.jrs.core.mem
Class used to adapt MemoryContainer as long as its implementation of getAttributes and getAttrCount methods works wrong when there are no attributes added to memory container.
MemoryContainerDecisionsManager - Class in pl.poznan.put.cs.idss.jrs.core.mem
Class used to manage decisions from given memory container.
MemoryContainerDescription - Class in pl.poznan.put.cs.idss.jrs.core.mem
Class used to store description of one memory container.
It stores:
- memory container type (currently one of INFORMATION_TABLE, PCT or SIMILARITY_TABLE),
- evaluation space in which evaluations from memory container are defined (currently PARETO or LORENZ),
- reference to the AttributesMeaningsDescriptions object containing descriptions of meanings of all attributes from memory container.
Optionally it may also store one or both of the following references:
- reference to the OrdinalValue2CardinalValue object containing information about how to convert ordinal values from memory container to cardinal values,
- reference to the EvaluationDifference2PreferenceIntensityDegree object containing information about how to convert differences of evaluations on conditional cardinal criteria from memory container to the degrees of the intensity of preference (used to transform information table to PCT).

If both references are stored it means, that first conversion stored in OrdinalValue2CardinalValue object should be applied to memory container and then conversion stored in EvaluationDifference2PreferenceIntensityDegree should be applied to new memory container resulting from the first conversion.
Predicted usage of information stored in this class is:
MemoryContainer newInformationTable = ordinalValue2CardinalValue.applyTo(informationTable);
MemoryContainer pct = InformationTable2PCTConverter.convert(newInformationTable, evaluationDifference2PreferenceIntensityDegree);

Main advantage of this solution is that it is possible to save both user-defined conversions (ordinal values -> cardinal values + differences of evaluations on cardinal criteria -> degrees of the intensity of preference) along with only one information table without need of saving intermediate information table which may be not attractive to the user.
MemoryContainerDescription(int, int, AttributesMeaningsDescriptions, Hashtable<Integer, Integer>, OrdinalValue2CardinalValue, EvaluationDifference2PreferenceIntensityDegree) - Constructor for class pl.poznan.put.cs.idss.jrs.core.mem.MemoryContainerDescription
Constructor initializing all fields.
memoryContainerIsCompatible(MemoryContainer) - Method in class pl.poznan.put.cs.idss.jrs.rules.Rule
Checks if given memory container is compatible with this rule.
MemoryContainersDescriptions - Class in pl.poznan.put.cs.idss.jrs.core.mem
Class used to store global descriptions for different memory containers.
MemoryContainersUniqueIdentifiers - Class in pl.poznan.put.cs.idss.jrs.core.mem
MemoryContainerValidator - Class in pl.poznan.put.cs.idss.jrs.jmaf
Class used to validate memory container in order to check make sure that dominance relation is reflexive and transitive
MemoryContainerValidator(MemoryContainer) - Constructor for class pl.poznan.put.cs.idss.jrs.jmaf.MemoryContainerValidator
Constructor checks if memoryContainer is valid
MemoryInput - Class in pl.poznan.put.cs.idss.jrs.core.mem
Provides serial access to data in memory container.
MemoryInput(MemoryContainer) - Constructor for class pl.poznan.put.cs.idss.jrs.core.mem.MemoryInput
Assigns container to be read.
MemoryOutput - Class in pl.poznan.put.cs.idss.jrs.core.mem
Makes memory container to behave as serial output.
MemoryOutput(MemoryContainer) - Constructor for class pl.poznan.put.cs.idss.jrs.core.mem.MemoryOutput
Links input to the decision table stored in memory.
mergeUnions(UnionContainer[]) - Static method in class pl.poznan.put.cs.idss.jrs.cbr.approximations.UnionContainerMerger
Merges given union containers into one union container
MersenneTwisterFast - Class in pl.poznan.put.cs.idss.jrs.utilities
MersenneTwister and MersenneTwisterFast
MersenneTwisterFast() - Constructor for class pl.poznan.put.cs.idss.jrs.utilities.MersenneTwisterFast
Constructor using the default seed.
MersenneTwisterFast(int[]) - Constructor for class pl.poznan.put.cs.idss.jrs.utilities.MersenneTwisterFast
Constructor using an array of integers as seed.
MersenneTwisterFast(long) - Constructor for class pl.poznan.put.cs.idss.jrs.utilities.MersenneTwisterFast
Constructor using a given seed.
Metadata - Class in pl.poznan.put.cs.idss.jrs.types
Simple messenger class for passing and returning metadata associated with the decision table.
Metadata() - Constructor for class pl.poznan.put.cs.idss.jrs.types.Metadata
Constructs an empty metadata object.
Metadata(Attribute[], FileInfo) - Constructor for class pl.poznan.put.cs.idss.jrs.types.Metadata
Constructs a metadata object and puts information within.
MIELCAREK_APPROACH - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.Constants
The post-pruning type modes
MIELCAREK_APPROACH - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.rule.Modlem
The post-pruning type modes
MINIMAL_CERTAINTY - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.VCDRSAClassificationResult
 
MINIMAL_SET_OF_RULES - Static variable in class pl.poznan.put.cs.idss.jrs.ranking.RankerParameters
MINIMIZED - Static variable in class pl.poznan.put.cs.idss.jrs.rules.RuleMeasure
Constant indicating that measure should be minimized in order to obtain better decision rule
MINUS - Static variable in interface pl.poznan.put.cs.idss.jrs.jmaf.parser.RulesParserConstants
RegularExpression Id.
MisclassificationMatrix - Class in pl.poznan.put.cs.idss.jrs.classifiers
Stores results of classifier misclassifications
MisclassificationMatrix() - Constructor for class pl.poznan.put.cs.idss.jrs.classifiers.MisclassificationMatrix
 
MisclassificationMatrixContainer - Interface in pl.poznan.put.cs.idss.jrs.classifiers
 
MissingValuesAction - Class in pl.poznan.put.cs.idss.jrs.classifiers
Class responsible for performing missing values action.
MissingValuesAction(Instances) - Constructor for class pl.poznan.put.cs.idss.jrs.classifiers.MissingValuesAction
The constructor.
MIX_CONDITIONS_FROM_DIFFERENT_OBJECTS - Static variable in class pl.poznan.put.cs.idss.jrs.rules.RuleConstants
Possible strategy of choosing rule's elementary conditions, denoting that each condition can be created using evaluation of different object.
MIX_CONDITIONS_FROM_DIFFERENT_OBJECTS - Static variable in class pl.poznan.put.cs.idss.jrs.rules.VCDomLem
Possible value of the conditionsSelectionMethod parameter, defined for generateRulesForPositiveExamples method.
MLEM2 - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.Constants
 
MLEM2 - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.rule.Modlem
 
MLRule - Class in pl.poznan.put.cs.idss.jrs.classifiers.rule.modlem
 
MLRule() - Constructor for class pl.poznan.put.cs.idss.jrs.classifiers.rule.modlem.MLRule
 
MLSelector - Class in pl.poznan.put.cs.idss.jrs.classifiers.rule.modlem
 
MLSelector() - Constructor for class pl.poznan.put.cs.idss.jrs.classifiers.rule.modlem.MLSelector
default constructor
Modlem - Class in pl.poznan.put.cs.idss.jrs.classifiers.rule
Title: Modlem class.
Modlem() - Constructor for class pl.poznan.put.cs.idss.jrs.classifiers.rule.Modlem
 
MONOTONIC_MEASURE - Static variable in class pl.poznan.put.cs.idss.jrs.classifiers.Constants
 
MONOTONICALLY_NON_DECREASING - Static variable in class pl.poznan.put.cs.idss.jrs.rules.RuleMeasure
Constant indicating that rule measure is monotonically non-decreasing (w.r.t conditions)
MONOTONICALLY_NON_INCREASING - Static variable in class pl.poznan.put.cs.idss.jrs.rules.RuleMeasure
Constant indicating that rule measure is monotonically non-increasing (w.r.t conditions)
MonotonicDecisionClass - Class in pl.poznan.put.cs.idss.jrs.approximations
Monotonic IRSA or VC-IRSA, with $\epsilon$ measure of consistency, decision class from a decision table.
MonotonicDecisionClass(int, Field, MemoryContainer) - Constructor for class pl.poznan.put.cs.idss.jrs.approximations.MonotonicDecisionClass
MonotonicDecisionClass(int, Field, MemoryContainer, boolean) - Constructor for class pl.poznan.put.cs.idss.jrs.approximations.MonotonicDecisionClass
MonotonicDecisionClassContainer - Class in pl.poznan.put.cs.idss.jrs.approximations
Class used to create and store all monotonic decision classes which can be defined for a memory container
MonotonicDecisionClassContainer(MemoryContainer) - Constructor for class pl.poznan.put.cs.idss.jrs.approximations.MonotonicDecisionClassContainer
Constructor for MonotonicDecisionClassContainer class.
MonotonicDecisionClassContainer(MemoryContainer, int) - Constructor for class pl.poznan.put.cs.idss.jrs.approximations.MonotonicDecisionClassContainer
Constructor for MonotonicDecisionClassContainer class.
MonotonicUnion - Class in pl.poznan.put.cs.idss.jrs.approximations
Class representing union (set) of preference-ordered decision classes.
MonotonicUnion(int, int, Field, MemoryContainer) - Constructor for class pl.poznan.put.cs.idss.jrs.approximations.MonotonicUnion
Constructs union of given type, using decision criterion with given number, given basic decision class and given reference to memory container for which this union is defined.
MonotonicUnionContainer - Class in pl.poznan.put.cs.idss.jrs.approximations
Class used to create and store all upward and downward monotonic unions which can be defined for a memory container
MonotonicUnionContainer(MemoryContainer) - Constructor for class pl.poznan.put.cs.idss.jrs.approximations.MonotonicUnionContainer
Constructor for MonotonicUnionContainer class.
MonotonicUnionContainer(MemoryContainer, int) - Constructor for class pl.poznan.put.cs.idss.jrs.approximations.MonotonicUnionContainer
Constructor for MonotonicUnionContainer class.
MonotonicUnionContainer(MemoryContainer, int, MonotonicUnion[], MonotonicUnion[]) - Constructor for class pl.poznan.put.cs.idss.jrs.approximations.MonotonicUnionContainer
Constructor for MonotonicUnionContainer class.
MonotonicVCDomLem - Class in pl.poznan.put.cs.idss.jrs.rules
Class generating decision rules according to VC-DOMLEM algorithm, which is an extension of DOMLEM algorithm, handling not only DRSA (Dominance-based Rough Set Approach), but also VC-DRSA (Variable Consistency DRSA), IRSA=CRSA (Indiscernibility-based Rough Set Approach=Classical Rough Set Approach) and VC-IRSA (Variable Consistency IRSA).

This rules generator class is compatible with monotonic single decision classes of type MonotonicDecisionClass and monotonic unions of decision classes of type MonotonicUnion and uses value of inconsistency measure $\epsilon$ or $\epsilon'$ rule's statistic when searching for best condition added to the induced rule.

This class supports:
- IRSA + lower approximations, upper approximations or boundaries of decision classes as positive examples (rules' conditions and decisions employ relation '='); this means certain, possible and approximate rules with inconsistency measure value equal to 0, induced for single decision classes
- VC-IRSA + lower approximations of decision classes as positive examples (rules' conditions and decisions employ relation '='); this means certain rules with inconsistency measure value possibly greater than 0, induced for single decision classes
- DRSA + lower approximations or upper approximations of upward or downward unions of decision classes as positive examples (rules' conditions and decisions employ relations '>=' and '<='); this means certain or possible rules with inconsistency measure value equal to 0, induced for upward or downward unions of decision classes
- VC-DRSA + lower approximations of upward or downward unions of decision classes as positive examples (rules' conditions and decisions employ relations '>=' and '<='); this means certain rules with inconsistency measure value possibly greater than 0, induced for upward or downward unions of decision classes
TODO - add description of support for DRSA and approximate rules using: 1) mix of conditions from different border objects, 2) conditions taken from two border objects (one object from lower bound and one object from upper bound of considered boundary)

- decision table, PCT and similarity table as learning sample (simple values, pairs of simple values and (similarity, reference value) pairs as values of examples' fields for active condition attributes / criteria)
- mixed attributes and criteria (attributes with preference type assigned) for DRSA and VC-DRSA
- only monotonic VC-DRSA approach, which is described in the article
"Monotonic Variable Consistency Rough Set Approaches", Jerzy Błaszczyński, Salvatore Greco, Roman Słowiński, Marcin Szeląg, LNAI 2007, proceedings of the JRS07 conference, Toronto, 14-16 May 2007.
- induction based on border (corner) objects (objects from "lower edge" / "upper edge") for VC-DRSA
- induction based on all objects for DRSA / IRSA / VC-IRSA
- induction of rules using mix of conditions from different objects
- induction of robust (object-based) decision rules (method alternative to the one mentioned above) - each induced rule bases entirely on some positive object from learning set (partial profiles of that rule are created on the basis of evaluations from that object; of course not all evaluations from considered object have to be used, but only those, which ensure that rule does not exceed maximal allowed inconsistency measure value)

Concluding above, one may give 5 dimensions of the problem:
1) inconsistency measure value = 0 / inconsistency measure value > 0
2) decision classes / upward unions / downward unions
3) certain / possible / approximate rules
4) attributes / criteria
5) SimpleField / PairField / SimilarityField values of examples' fields, for active condition attributes/criteria

Following combinations of these 5 dimensions are supported:
[IRSA]
a) inconsistency measure value = 0; decision classes; certain rules; attributes only; SimpleField values of examples' fields
b) inconsistency measure value = 0; decision classes; possible rules; attributes only; SimpleField values of examples' fields
c) inconsistency measure value = 0; decision classes; approximate rules; attributes only; SimpleField values of examples' fields
[VC-IRSA]
d) inconsistency measure value > 0; decision classes; certain rules; attributes only; SimpleField values of examples' fields
[DRSA]
g) inconsistency measure value = 0; upward unions; certain rules; criteria only or mixed criteria and attributes; only SimpleField values of examples' fields, only PairField values of examples' fields, only SimilarityField values of examples' fields, or any combination of the former values of examples' fields
h) inconsistency measure value = 0; upward unions; possible rules; criteria only or mixed criteria and attributes; only SimpleField values of examples' fields, only PairField values of examples' fields, only SimilarityField values of examples' fields, or any combination of the former values of examples' fields
TODO - add combination for DRSA and approximate rules
i) inconsistency measure value = 0; downward unions; certain rules; criteria only or mixed criteria and attributes; only SimpleField values of examples' fields, only PairField values of examples' fields, only PairField values of examples' fields, only SimilarityField values of examples' fields, or any combination of the former values of examples' fields
j) inconsistency measure value = 0; downward unions; possible rules; criteria only or mixed criteria and attributes; only SimpleField values of examples' fields, only PairField values of examples' fields, only PairField values of examples' fields, only SimilarityField values of examples' fields, or any combination of the former values of examples' fields
TODO - add combination for DRSA and approximate rules
[VC-DRSA]
k) inconsistency measure value > 0; upward unions; certain rules; criteria only or mixed criteria and attributes; only SimpleField values of examples' fields, only PairField values of examples' fields, only PairField values of examples' fields, only SimilarityField values of examples' fields, or any combination of the former values of examples' fields
m) inconsistency measure value > 0; downward unions; certain rules; criteria only or mixed criteria and attributes; only SimpleField values of examples' fields, only PairField values of examples' fields, only PairField values of examples' fields, only SimilarityField values of examples' fields, or any combination of the former values of examples' fields

Performance of VC-DOMLEM algorithm is affected by the MonotonicVCDomLem.DEFAULT_MODE_OF_POSITIVE_EXAMPLES_FOR_VCDRSA constant.
MonotonicVCDomLem() - Constructor for class pl.poznan.put.cs.idss.jrs.rules.MonotonicVCDomLem
Sole constructor
MonotonicVCDomLem(ApproximatedEntity[], double[], ApproximatedEntityDecisionsPredictor, int, int, ConditionValidator, MemoryContainer, int, int) - Constructor for class pl.poznan.put.cs.idss.jrs.rules.MonotonicVCDomLem
Constructor initializing all fields used by VCDomLem.generateRules() method.
MonotonicVCDomLem(ApproximatedEntity[], double, ApproximatedEntityDecisionsPredictor, int, int, ConditionValidator, MemoryContainer, int, int) - Constructor for class pl.poznan.put.cs.idss.jrs.rules.MonotonicVCDomLem
Constructor initializing all fields used by VCDomLem.generateRules() method.
MonotonicVCdomLEMCommand - Class in pl.poznan.put.cs.idss.jrs.executors
 
MonotonicVCdomLEMCommand() - Constructor for class pl.poznan.put.cs.idss.jrs.executors.MonotonicVCdomLEMCommand
 
MonotonicVCdomLEMWrapper - Class in pl.poznan.put.cs.idss.jrs.wrappers
Wrapper for VCDomLEM.
MonotonicVCdomLEMWrapper() - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(String) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(String, double, int, int) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(String, double, int, int, boolean) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(String, double, int, int, int, boolean) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(String, int, int) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(RulesClassificationMethod) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, double, int, int) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, double, int, int, boolean) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, double, int, int, boolean, RulesClassificationMethod) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, double, int, int, int, boolean) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, double, int, int, int, boolean, RulesClassificationMethod) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, double, int, int, RulesClassificationMethod) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, int, int) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, String, double, int, int) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MonotonicVCdomLEMWrapper(MemoryContainer, String, double, int, int, RulesClassificationMethod) - Constructor for class pl.poznan.put.cs.idss.jrs.wrappers.MonotonicVCdomLEMWrapper
 
MU_CONSISTENCY - Static variable in class pl.poznan.put.cs.idss.jrs.rules.RuleConstants
Flag indicating $\mu$-consistency rule consistency measure
MULTIPLE_DECISIONS - Static variable in class pl.poznan.put.cs.idss.jrs.wrappers.VCArcingWrapper
 
MySQLInput - Class in pl.poznan.put.cs.idss.jrs.core.db
Objects of this class represent an input from the database.
MySQLInput(MySQLSession, String) - Constructor for class pl.poznan.put.cs.idss.jrs.core.db.MySQLInput
The constructor sets a connection to the database.
MySQLOutput - Class in pl.poznan.put.cs.idss.jrs.core.db
Objects of this class represent an output to the database.
MySQLOutput(MySQLSession, String) - Constructor for class pl.poznan.put.cs.idss.jrs.core.db.MySQLOutput
Sets a read-write connection to the database and creates the tables needed to store the decision problem.
MySQLRandom - Class in pl.poznan.put.cs.idss.jrs.core.db
This class provides a method that returns a result of any read-only SQL query.
MySQLRandom(MySQLSession, String) - Constructor for class pl.poznan.put.cs.idss.jrs.core.db.MySQLRandom
Sets a connection to the database.
MySQLSession - Class in pl.poznan.put.cs.idss.jrs.core.db
This class suports basic database operation and stores database session parameters.
MySQLSession(String, String, String, String) - Constructor for class pl.poznan.put.cs.idss.jrs.core.db.MySQLSession
Creates a new database session.
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