USING FUZZY MODIFIER IN SIMILARITY MEASURE OF FUZZY ATTRIBUTE GRAPH AND ITS AUTOMATIC SELECTION IN STRUCTURAL PATTERN RECOGNITION

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MOALLEM PAYMAN

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Journal Paper

Paper Information

Journal: Majlesi Journal of Electrical Engineering Year:2007 | Volume:1 | Issue:2 (2) Page(s): 45-52

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Title

USING FUZZY MODIFIER IN SIMILARITY MEASURE OF FUZZY ATTRIBUTE GRAPH AND ITS AUTOMATIC SELECTION IN STRUCTURAL PATTERN RECOGNITION

Author(s)

MOALLEM PAYMAN | Issue Writer Certificate

Keywords

STRUCTURAL PATTERN RECOGNITIONQ4

FUZZY ATTRIBUTE GRAPHQ4

SIMILARITY MEASUREQ4

FUZZY MODIFIERQ4

Abstract

Fuzzy Attribute Graph (FAG) is a powerful tool for representation and recognition of structural patterns. The conventional framework for SIMILARITY MEASURE of FAGs is based on equivalent fuzzy attributes but in fuzzy world, some attributes are more important. In this paper, a modified recognition framework, using linguistic modifier for matching of the FUZZY ATTRIBUTE GRAPHs, is introduced. Then an algorithm for automatic selection of FUZZY MODIFIER based on the learning patterns is posed. Some examples for the conventional and modified framework for FAG SIMILARITY MEASURE are studied and the potential of the proposed framework for FAG matching is showed.

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APA: Copy

MOALLEM, PAYMAN. (2007). USING FUZZY MODIFIER IN SIMILARITY MEASURE OF FUZZY ATTRIBUTE GRAPH AND ITS AUTOMATIC SELECTION IN STRUCTURAL PATTERN RECOGNITION. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 1(2 (2)), 45-52. SID. https://sid.ir/paper/188214/en

Vancouver: Copy

MOALLEM PAYMAN. USING FUZZY MODIFIER IN SIMILARITY MEASURE OF FUZZY ATTRIBUTE GRAPH AND ITS AUTOMATIC SELECTION IN STRUCTURAL PATTERN RECOGNITION. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2007;1(2 (2)):45-52. Available from: https://sid.ir/paper/188214/en

IEEE: Copy

PAYMAN MOALLEM, “USING FUZZY MODIFIER IN SIMILARITY MEASURE OF FUZZY ATTRIBUTE GRAPH AND ITS AUTOMATIC SELECTION IN STRUCTURAL PATTERN RECOGNITION,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 1, no. 2 (2), pp. 45–52, 2007, [Online]. Available: https://sid.ir/paper/188214/en

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