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On fuzzy algorithms
Lotfi A. Zadeh
- pp 127-147
TLDR
A fuzzy algorithm is introduced which, though fuzzy rather than precise in nature, may eventually prove to be of use in a wide variety of problems relating to information processing, control, pattern recognition, system identification, artificial intelligence and, more generally, decision processes involving incomplete or uncertain data.Abstract:
Unlike most papers in Information and Control, our note contains no theorems and no proofs. Essentially, its purpose is to introduce a basic concept which, though fuzzy rather than precise in nature, may eventually prove to be of use in a wide variety of problems relating to information processing, control, pattern recognition, system identification, artificial intelligence and, more generally, decision processes involving incomplete or uncertain data. The concept in question will be called a fuzzy algorithm because it may be viewed as a generalization, through the process of fuzzification, of the conventional (nonfuzzy) conception of an algorithm. More specifically, unlike a nonfuzzy deterministic or nondeterministic algorithm (Floyd, 1967), a fuzzy algorithm may contain fuzzy statements, that is, statements containing names of fuzzy sets (Zadeh, 1965), by which we mean classes in which there may be grades of membership intermediate between full membership and nonmembership. To illustrate, fuzzy algorithms may contain fuzzy instructions such as:read more
Citations
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Fuzzy curve-tracing algorithm
TL;DR: This paper presents a fuzzy clustering algorithm for the extraction of a smooth curve from unordered noisy data using the fuzzy c-means (FCM) algorithm, with the constraint that the curve must be smooth.
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Neuro-fuzzy feature selection approach based on linguistic hedges for medical diagnosis
TL;DR: The results indicated that use of linguistic hedges in adaptive neural-fuzzy classifier improves the success of the classifier, and the proposed method not only helps to reduce the dimensionality of large datasets but also can speed up the computation time of a learning algorithm and simplify the classification tasks.
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Intelligent prediction of surrounding rock deformation of shallow buried highway tunnel and its engineering application
TL;DR: The presented method has been validated as an effective method of deformation prediction for surrounding rock, which also has good prospects for further engineering applications and is simple, feasible and easy to implement.
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Fractal-Based Fuzzy Technique For Detection Of Active Regions From Solar Images
TL;DR: The pixelwise local fractal dimension of solar images is computed by different techniques followed by different segmentation procedures including the fuzzy-based approach, for extracting the active regions from chromospheric images and assessing their performance.
Proceedings ArticleDOI
On Detecting Port Scanning using Fuzzy Based Intrusion Detection System
TL;DR: A fuzzy logic controller is designed and integrated with Snort in order to enhance the functionality of port scanning detection and shows that applying fuzzy logic adds to the accuracy of determining bad traffic.
References
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Book
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Journal ArticleDOI
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