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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, 2002
We 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 flight controller combining linguistic and model-based fuzzy control

Fuzzy Sets and Systems, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bourhane Kadmiry, Dimiter Driankov
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A fuzzy linguistic quality evaluation model for digital libraries

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
The 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, 2014
A 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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Weighted linguistic modelling based on fuzzy subsethood values

The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004
A basic aim of the development of fuzzy linguistic models is to produce fuzzy systems which have both a high accuracy rate and a high degree of transparency. This paper presents a modelling method which allows the creation of accurate fuzzy linguistic models, based on fuzzy subsethood-values.
Khairul A. Rasmani, Qiang Shen
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Fuzzy linguistic model for bioelectrical impedance vector analysis

Clinical Nutrition, 2012
The boundaries between the categories of body composition provided by vectorial analysis of bioimpedance are not well defined. In this paper, fuzzy sets theory was used for modeling such uncertainty.An Italian database with 179 cases 18-70 years was divided randomly into developing (n = 20) and testing samples (n = 159).
Bronhara B, PICCOLI, ANTONIO, Pereira JC
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Two Fuzzy-Set Models for the Semantics of Linguistic Negations

2007
Two methods based on fuzzy sets are proposed in order to handle the understanding of linguistic negations. Both solutions assign an interpretation of the negated nuances of the natural language (i.e. the humans use adverbs and adjectives to make their requests) depending on the context. The first approach is a modification of Pacholczyk’s model able to
CALEGARI, SILVIA   +2 more
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Fuzzy linguistic modelling

2017
Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
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Some Remarks on the Fuzzy Linguistic Model Based on Discrete Fuzzy Numbers

2015
In this article, some possible interpretations of the computational model based on discrete fuzzy numbers are given. In particular, some advantages of this model based on the aggregation process as well as on a greater flexibilization of the linguistic expressions are analysed.
Enrique Herrera-Viedma   +3 more
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An Extended LibQUAL+ Model Based on Fuzzy Linguistic Information

2012
LibQUAL+ model is a web-based survey to measure the library service quality according to the users' perceptions. Although it is the most popular method, it presents two major drawbacks: (i) it is devised on cardinal scale to measure the library service quality (from 1 to 9), but, due to the subjectivity, impression and vagueness of the human beings ...
Francisco Javier Cabrerizo   +3 more
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