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A hierarchical model of a linguistic variable
Information Sciences, 2011In this work a theoretical hierarchical model of dichotomous linguistic variables is presented. The model incorporates certain features of the approximate reasoning approach and others of the Fuzzy Control approach to Fuzzy Linguistic Variables. It allows sharing of the same hierarchical structure between the syntactic definition of a linguistic ...
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2019
This chapter outlines each of the linguistic variables studied in this New England English project, including r-lessness, START/PALM-fronting, “broad-a” BATH, NORTH/FORCE distinctions, MARY/MARRY/MERRY distinctions, LOT/THOUGHT distinctions, nasal short-a, and other traditional regional features.
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This chapter outlines each of the linguistic variables studied in this New England English project, including r-lessness, START/PALM-fronting, “broad-a” BATH, NORTH/FORCE distinctions, MARY/MARRY/MERRY distinctions, LOT/THOUGHT distinctions, nasal short-a, and other traditional regional features.
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A numerical approach to linguistic variables and linguistic space
Proceedings of IEEE 5th International Fuzzy Systems, 2002The paper introduces an approach to translate linguistic variables (LV) into numerical ones without using the concept of membership. It achieves this goal in three steps: (1) arrange all the atomic terms of a LV inside the interval (0,1|; 2) put a restriction on any compound term of a LV that it can only be formed by the product of a weight vector and ...
null Chengan Liu +3 more
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Transforming fuzzy graphs into linguistic variables
2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), 2016Fuzzy graphs (FG) are capable of showing dependencies and relationships between each other to a certain degree. Often, these relationships are described by numbers, which impedes interpretability for humans because they communicate using natural language.
Marc Osswald +3 more
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1993
This book for the first time reconstructs in a single theoretical framework the more important approaches to linguistic variation found in areas as different as historical linguistics, dialectology, sociolinguistics, psycholinguistics, stylistics, contrastive linguistics, language typology, so-called evaluation grammar, and current Chomskyan generative
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This book for the first time reconstructs in a single theoretical framework the more important approaches to linguistic variation found in areas as different as historical linguistics, dialectology, sociolinguistics, psycholinguistics, stylistics, contrastive linguistics, language typology, so-called evaluation grammar, and current Chomskyan generative
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Optimization with linguistic variables
2003The aim of this paper is to introduce a novel statement of fuzzy mathematical programming problems and to provide a method for findig a fair solution to these problems. Suppose we are given a mathematical programming problem in which the functional relationship between the decision variables and the objective function is not completely known.
Christer Carlsson, Robert Fullér
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A context-based interpretation of linguistic variables
2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), 2005In this paper we first introduce a context-based interpretation of fuzzy concepts within which the modal-logic based formulation of fuzzy sets is related. Within the framework, we also establish an interpretation of the mass assignment of a fuzzy set.
Van-Nam Huynh, Yoshiteru Nakamori
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Hierarchical Linguistic Variables
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society, 2009The linguistic terms of a Linguistic Variable classify the numeric values of their Universe. In that sense, they are categories which are defined over a space of values. In this work a hierarchical model of a linguistic variable is analyzed from the point of view of the principles of categorization and hierarchy theory.
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An alternative semantics for linguistic variables
1988The concept of a linguistic variable, first introduced by Zadeh [5], is here modified and reinterpreted with the aim of producing a computationally more manageable model of natural human reasoning with linguistic imprecision. An important characteristic of the new interpretation is that it establishes the meaning of linguistic terms relative to a ...
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On Linguistic Variables and Sparse Representations
2015Linguistic variables can be seen as dictionaries to represent data. In fields as Signal Processing or Machine Learning is usual to use or to search redundant dictionaries to promote sparse representations. This kind of representations present several interesting properties as a high generalization capacity, simplification and economy, among others.
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