svs_simulation.ai

Package svs_simulation :: Package ai_lib :: Module fuzzy

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Module svs_simulation.ai_lib.fuzzy

Implementation of fuzzy logic system.

The evaluation method of the FuzzyVariable is based on the Seguno method. This requires that each subset be represented as a 'fuzzy singleton' (ie a single value rather than a range). When subsets are created, a segunoSingleton property is created for it based on the centroid of the fitness vector.

Author: Simon Yuill

Contact: simon@lipparosa.org

Copyright: 2005 Simon Yuill

License: GNU GPL version 2 or any later version

Classes
`FuzzyAND`	Performs fuzzy AND operation on member terms.
`FuzzyEvaluator`	Collects a set of rules and handles their evaluation of input.
`FuzzyNOT`	Performs fuzzy NOT operation on member terms.
`FuzzyOR`	Performs fuzzy OR operation on member terms.
`FuzzyRule`	Respresents and evaluates a single fuzzy rule.
`FuzzySet`	A set contained within a fuzzy linguistic variable.
`FuzzyTerm`	Base class from which fuzzy sets and operators are derived.
`FuzzyVariable`	Encapsulation of a fuzzy super set.
`SimpleFuzzyEvaluator`	The `SimpleFuzzyEvaluator` patches two fuzzy sets together and evaluates their input.

Exceptions
`FuzzyException`

Function Summary
	`buildLookupForSet(fuzzySet)` Creates a lookup table for a set.
	`centroid(fuzzySet)` Finds the centre ofgravity for the set.
	`mapIndices(itemA, itemB, fuzzySet)` Maps the values between two items into the specified set according.
	`nearestIndex(testIndex, indices)` Finds nearest match for an index within a range of indices.
	`parseFitVectorString(fvStr)` Converts a formatted string into a fitvector.
	`positionOf(index, indices)` Returns position of index value in indices.

Variable Summary
`Constants`	`logic_const` = `<svs_core.utilities.lib.Constants instance...`

Function Details

buildLookupForSet(fuzzySet)

Creates a lookup table for a set.

Parameters:: fuzzySet - set to build lookup table for
(type=FuzzySet)

centroid(fuzzySet)

Finds the centre ofgravity for the set.

Parameters:: fuzzySet - set to build lookup table for
(type=FuzzySet)

mapIndices(itemA, itemB, fuzzySet)

Maps the values between two items into the specified set according.

Parameters:: itemA - first item
(type=tuple); itemB - second item
(type=tuple); fuzzySet - set to map to
(type=FuzzySet)

nearestIndex(testIndex, indices)

Finds nearest match for an index within a range of indices.

Parameters:: testIndex - index number to match
(type=integer); indices - list to match to
(type=list)

parseFitVectorString(fvStr)

Converts a formatted string into a fitvector.

The string should be in the form:
        
        C{<index>:<membership>, <index>:<membership>, etc}
        
where each entry is separated by a comma, and the 
index point and membership value are separated by
a colon.

positionOf(index, indices)

Returns position of index value in indices.

Variable Details

logic_const

Type:: Constants
Value:: <svs_core.utilities.lib.Constants instance at 0x3080dcd8>

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