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Separation of linguistic information methodology in a fuzzy model
2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002A new methodology for organising the information in different structures was developed: the Separation of Linguistic Information Methodology (SLIM). The concept of relevance, which is in its genesis, was recently proposed, enabling the measurement of the relative importance of rule sets.
P. A. C. Salgado +2 more
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Linguistic models and fuzzy truths
International Journal of Man-Machine Studies, 1978In this paper the linguistic value of truth is used to derive a procedure for validation of models. The procedure uses fuzzy set theory to obtain the compatibility between observed data and model generated data. Of significance is the fact that the data can be in linguistic form.
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FUZZY LINGUISTIC MODELING OF EASE OF DOING BUSINESS INDICATORS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009Ease of Doing Business (EDB) indicators are essential to overall understanding and evaluation of national business environment, and strategy formulation for business policy and regulations. The World Bank does an annual study of these indicators for over 170 nations, but there are many complications and uncertainties involved in the work.
Mehrdad Roham +2 more
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Linguistic data mining and fuzzy modelling
Proceedings of IEEE 5th International Fuzzy Systems, 2002The study is devoted to the concept of data mining formulated in the setting of fuzzy sets. It is shown that the essence of revealing relationships within the data sets lies in context dependent search being formulated by the user. Some crucial links between data mining and fuzzy modelling are identified. Numerical experiments are also provided.
K. Hirota, W. Pedrycz
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Linguistic fuzzy modelling of an asynchronous motor
2007 International Aegean Conference on Electrical Machines and Power Electronics, 2007Sliding mode control and fuzzy logic control have been combined together in order to optimize the performance given by conventional sliding mode control; especially against the effect causes by the chattering phenomenon. One approach taken by many researchers is to use fuzzy logic to smooth the chattering in sliding mode control. In this paper, a novel
L. Barazane +3 more
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Fuzzy linguistic model based control
Proceedings. 5th IEEE International Symposium on Intelligent Control 1990, 2002A new approach to rejecting measurable disturbances in multistage continuous manufacturing processes is presented. This approach, called fuzzy linguistic model-based compensation, is empirically shown to be effective, in comparison with ordinary feedback, in predicting the influence of the disturbance and countering its effect.
G. Langari, M. Tomizuka
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Fuzzy reliability modelling — Linguistic approach
Microelectronics Reliability, 1992Abstract A fuzzy process, similar to a stochastic process is carried out for reliability network modelling. As an illustration, fuzzy Markov modelling for a power generator with a derated state has been developed. The model indicates the possibility of the power generator being in different states after some transition period by considering the ...
V. Ramachandran +2 more
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Some issues in fuzzy and linguistic modeling
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, 2002We discuss some issues arising in fuzzy logic based quantitative modeling. A linguistic model is a fuzzy in which the fuzzy sets are labelled, usually by elements of a dictionary. The issues presented are of general interest, and for illustration we refer to our previous work (1994) on facial expression modeling. >
A. Ralescu, R. Hartani
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A fuzzy linguistic quality evaluation model for digital libraries
2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010The aim of this paper is to present a model based on a fuzzy linguistic approach to evaluate the quality of digital libraries. The quality evaluation of digital libraries is defined using users' perceptions on the quality of digital services provided through their Web sites.
Enrique Herrera-Viedma +2 more
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Top-Down Approach for a Linguistic Fuzzy Logic Model
Cybernetics and Systems, 2014A top-down approach is introduced for processing nonlinear linguistic fuzzy logic within the Mamdani model itself in order to reduce the computational efforts. The top-down approach is composed of three steps: 1 directly obtain the best set of linguistic terms, 2 find the matching rule antecedents and their output values, and 3 visit the neighbor terms.
Ziho Kang, Steven J. Landry
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