The concept of a linguistic variable and its application to approximate reasoning - I

  title={The concept of a linguistic variable and its application to approximate reasoning - I},
  author={Lotfi A. Zadeh},
  journal={Inf. Sci.},
  • L. Zadeh
  • Published 1975
  • Linguistics
  • Inf. Sci.

Fuzzy linguistic logic programming and its applications

F fuzzy linguistic logic programming is introduced, which is a combination of fuzzy logic programming, introduced by P. Vojtáš, and hedge algebras in order to facilitate the representation and reasoning on human knowledge expressed in natural languages.

An Alternative Interpretation of Linguistic Variables as Linguistic Finite Automata

An alternative interpretation of linguistic variables is introduced with the notion of a linguistic description of a value or set of values to define the Linguistic Finite Automata along with the expansion of δ Ꞌ and.

Representing the Adverb Very in Fuzzy Set Theory

  • M. D. Cock
  • Linguistics, Computer Science
    ESSLLI Student Papers
  • 1999
This work recalls the concept of a linguistic variable and the representation of its values (i.e. linguistic terms) by means of fuzzy sets, and investigates two important classes of popular fuzzy modifiers.

1 Approximate Reasoning using Linguistic Valuations

This paper presents one model of the uncertainty in qualitative form, and a linguistic approach in a context of a many-valued logic to represent the knowledge, using linguistic valuations to translate both uncertainty and imprecision.

A framework for linguistic modelling

  • J. Lawry
  • Computer Science
    Artif. Intell.
  • 2004

An essay on the linguistic roots of fuzzy sets

Linguistic Preference Modeling : Foundation Models and New Trends

Extended Abstract There are decision situations in which the information cannot be assessed precisely in a quantitative form but may be in a qualitative one, and thus, the use of a linguistic


A model of the uncertainty (and/or the lack of precision) in qualitative form is presented, a symbolic approach in a context of a many-valued logic is proposed and all necessary tools to represent and to manage the uncertain and imprecise knowledge in an Expert System are presented.

Fuzzy logic in natural language processing

  • V. Novák
  • Computer Science
    2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  • 2017
This paper outlines how model of the meaning of basic constituents of natural language (nouns, adjectives, adverbs, verbs) has been elaborated in FNL and argues that it is reasonable to develop a simplified model that would capture the main features of the semantics ofnatural language and thus make it possible to realize sophisticated technical applications.

Towards an extension of the 2-tuple linguistic model to deal with unbalanced linguistic term sets

An extension to the package jFuzzyLogic and to the corresponding script language FCL is added, which supports both 2-tuple models: Herrera and Martinez' and the authors', and two aggregation algorithms are presented: the arithmetic means and the addition.



Quantitative fuzzy semantics

Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

  • L. Zadeh
  • Computer Science
    IEEE Trans. Syst. Man Cybern.
  • 1973
By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.

Understanding natural language

A computer system for understanding English that contains a parser, a recognition grammar of English, programs for semantic analysis, and a general problem solving system based on the belief that in modeling language understanding, it must deal in an integrated way with all of the aspects of language—syntax, semantics, and inference.

Hedges: A study in meaning criteria and the logic of fuzzy concepts

Any attempt to limit truth conditions for natural language sentences to true, false and "nonsense' will distort the natural language concepts by portraying them as having sharply defined rather than fuzzily defined boundaries.

A Fuzzy-Set-Theoretic Interpretation of Linguistic Hedges

Abstract A basic idea suggested in this paper is that a linguistic hedge such as very, more or less, much, essentially. slightly, etc. may be viewed as an operator which acts on the fuzzy set

Similarity relations and fuzzy orderings

Formal languages and their relation to automata

  • J. HopcroftJ. Ullman
  • Computer Science
    Addison-Wesley series in computer science and information processing
  • 1969
The theory of formal languages as a coherent theory is presented and its relationship to automata theory is made explicit, including the Turing machine and certain advanced topics in language theory.

Fuzzy Algorithms

  • L. Zadeh
  • Computer Science
    Inf. Control.
  • 1968
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.

The Theory of Parsing, Translation, and Compiling

It is the hope that the algorithms and concepts presented in this book will survive the next generation of computers and programming languages, and that at least some of them will be applicable to fields other than compiler writing.