文件名称:Fuzzy-Edge-Detection-(1)
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Fuzzy logic is a form of many-valued logic or probabilistic logic it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.-Fuzzy logic is a form of many-valued logic or probabilistic logic it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.
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Fuzzy Edge Detection
....................\FuzzyEdgeDetection.fis
....................\FuzzyEdgeDetectionGUI.fig
....................\FuzzyEdgeDetectionGUI.m
....................\FuzzyEdgeDetectionMain.m
....................\Images
....................\......\bridge.tif
....................\......\cameraman.tif
....................\......\house.tif
....................\......\lena_gray.jpg
....................\......\mit.tif
....................\......\peppers.tif
....................\......\Thumbs.db
....................\testfuzzy.fis