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Context adaptation of mamdani fuzzy rule based systems
International Journal of Intelligent Systems, 2008Summary: Context adaptation is certainly a promising approach in the development of Fuzzy Rule Based Systems (FRBSs). First, an initial rule base is extracted from heuristic knowledge of the application domain. Meanings of linguistic terms are defined so as to guarantee high interpretability of the FRBSs.
BOTTA A. +2 more
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A Metasemantic Interpretation of Mamdani Systems
2015The linguistic interpretation of the aggregation of conclusions in a Mamdani System faces the particular difficulty that the aggregated fuzzy sets are not normal, but truncated at a level determined by the degree of satisfaction of the corresponding premises.
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Fuzzy Mamdani Inference System Skin Detection
2009 Ninth International Conference on Hybrid Intelligent Systems, 2009Skin detection is well known to detect the appearance of human and human parts within an image. However, there are several limitations exist in skin detection when using skin colour as cue to detect skin appearance. These limitations include problems such as illumination, skin-like pixels and camera characteristic.
Selamat, Ali +2 more
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Dissent
ABSTRACT: The excitement generated by Zohran Mamdani’s successful campaign for New York City mayor jolted political consultants and pollsters, especially those looking for quick ways to generate enthusiasm for Democratic candidates. Perhaps this could be a silver bullet?
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ABSTRACT: The excitement generated by Zohran Mamdani’s successful campaign for New York City mayor jolted political consultants and pollsters, especially those looking for quick ways to generate enthusiasm for Democratic candidates. Perhaps this could be a silver bullet?
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An Innovative and Improved Mamdani Inference (IMI) Method
2018For a fuzzy system, inputs can be considered as crisp ones or fuzzy ones or a combination of them. Generally, the inputs are of crisp type; but sometimes they are of fuzzy type. For fuzzy inputs, the min max method for measuring the amount of matching is used.
Hamid Jamalinia +4 more
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Chaining of fuzzy IF-THEN rules in Mamdani-controllers
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 2002The problem of chaining of fuzzy IF-THEN rules has so far received a rather theoretic treatment in the literature on approximate reasoning. In particular, different types of composition operators, fuzzy implication operators, etc., have been identified such that the conclusion obtained via a chain of fuzzy rules coincides with the conclusion derived ...
D. Driankov, H. Hellendoorn
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2009
This chapter contains sections titled: Introduction PID Control Different Types of Fuzzy Controllers Fuzzy PI/PD Controllers as Linear PI/PD Controllers Fuzzy PI/PD Controllers as Piecewise Linear PI/PD Controllers Simplest Fuzzy PI Controller as Nonlinear Variable Gain PI Controller Another Simplest Fuzzy PI ...
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This chapter contains sections titled: Introduction PID Control Different Types of Fuzzy Controllers Fuzzy PI/PD Controllers as Linear PI/PD Controllers Fuzzy PI/PD Controllers as Piecewise Linear PI/PD Controllers Simplest Fuzzy PI Controller as Nonlinear Variable Gain PI Controller Another Simplest Fuzzy PI ...
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Takagi-Sugeno Approximation of a Mamdani Fuzzy System
2014In the present paper we construct a higher order Takagi-Sugeno fuzzy system that approximates a Mamdani fuzzy system, with arbitrary accuracy. The goal of this construction is to reduce the computational complexity of a fuzzy systems considered, also to replace a nonlinear operator by an approximate linear operator.
Barnabás Bede, Imre J. Rudas
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A Mamdani Model to Predict the Weighted Joint Density
2003Estimating the block size is a major task for the quarry economy. Two approaches such as volumetric joint count and weighted joint density exist in the literature to assess the block size. However, due to the complex nature of discontinuities in the rock masses, this parameter could not be predicted easily everytime.
Hakan Ahmet Nefeslioglu +2 more
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An Essay on the Interpretability of Mamdani Systems
2012Mamdani Systems are very well known in the area of Fuzzy Control, where they have been, they are, and they will continue to be successfully used. Efforts to linguistically interpret Mamdani Systems as a method for inference in fuzzy logic have faced the difficulty of interpreting the output of such systems before defuzzification, which consists of an ...
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