Last edited by Bralrajas
Wednesday, October 21, 2020 | History

1 edition of Linguistic Values Based Intelligent Information Processing: Theory, Methods, and Applications found in the catalog.

Linguistic Values Based Intelligent Information Processing: Theory, Methods, and Applications

by Zheng Pei

  • 193 Want to read
  • 7 Currently reading

Published by Atlantis Press in Paris .
Written in English

    Subjects:
  • Language Translation and Linguistics,
  • Computer science,
  • Translators (Computer programs)

  • Edition Notes

    Statementby Zheng Pei, Da Ruan, Jun Liu, Yang Xu
    SeriesAtlantis Computational Intelligence Systems -- 1
    ContributionsRuan, Da, Liu, Jun, Xu, Yang, SpringerLink (Online service)
    The Physical Object
    Format[electronic resource] /
    ID Numbers
    Open LibraryOL27071344M
    ISBN 109789491216282

    Uncertainties due to randomness and fuzziness comprehensively exist in control and decision support systems. In the present study, we introduce notion of occurring probability of possible values into hesitant fuzzy linguistic element (HFLE) and define hesitant probabilistic fuzzy linguistic set (HPFLS) for ill structured and complex decision making by: 9. Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1.

    The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential. A method based on linguistic aggregation operators for group decision making with linguistic preference relations, Information Sciences (1) (), 19– [46] Wei G.W., Picture fuzzy aggregation operators and their application to multiple attribute decision making, Journal of Intelligent and Fuzzy Systems 33(2) (), –Author: Hui Wang.

    EUROCAST Workshop on Intelligent Information Processing, Las Palmas de Gran Canaria (Canary Islands), Spain. Eurolan Cross-Language Knowledge Induction Workshop, Cluj-Napoca, Romania. European Association for Machine Translation 10th Annual Conference (EAMT), Budapest, Hungary. means of IF-THEN rules and linguistic variables. Attributes or values of these linguistic variables are linguistic terms associated with fuzzy sets, a generalization of ordinary (“crisp”) sets. Fuzzy set theory is the theoretical basis underlying information processing in fuzzy control systems. From the systems theory’s view, a fuzzy.


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The main contents include topics such as the 2-tuple model of linguistic values, 2-tuple linguistic aggregation operator hedge algebras, complete hedge algebras and. Linguistic Values Based Intelligent Information Processing: Theory, Methods, and Applications Zheng Pei, Da Ruan, Jun Liu, Yang Xu (auth.) Year: This book focuses on systematic and intelligent information processing theories and methods based on linguistic values.

The main contents include topics such as the 2-tuple model of linguistic values, 2-tuple linguistic aggregation operator hedge Linguistic Values Based Intelligent Information Processing: Theory, complete hedge algebras and linguistic value reasoning, reasoning with linguistic quantifiers, linguistic reasoning based.

Linguistic Values Based Intelligent Information Processing: Theory, Methods and Applications (Atlantis Computational Intelligence Systems) [Xu, Yang, Ruan, Da, Liu, Jun, Pei, Zheng] on *FREE* shipping on qualifying offers.

Linguistic Values Based Intelligent Information Processing: Theory, Methods and Applications (Atlantis Computational Cited by: Linguistic values-based intelligent information processing: theory, methods, and applications. [Zheng Pei;] The 2-tuple fuzzy linguistic representation model --Hedge algebras of linguistic values --Linguistic information processing based on lattice structure --Fuzzy number indexes of linguistic values --Hierarchical structure analysis of.

In: Linguistic Values Based Intelligent Information Processing: Theory, Methods, and Applications. Atlantis Computational Intelligence Systems, vol 1. Atlantis PressCited by: 2. Publisher Summary. The chapter deals with the perception-based theory of probabilistic reasoning with imprecise probabilities.

The perception-based theory is based on the meaning of a proposition, p, which describes a perception, and is expressed as a generalized constraint of the form X isr R, where X is the constrained variable, R is the constraining relation and isr is a.

To our best knowledge, all of these subjects are nowadays more systematic in intelligent information processing theory and methods based on linguistic values. This book is. Linguistic Values Based Intelligent Information Processing: Theory, Methods, and Applications.

Atlantis Press. Zheng Pei, Da Ruan, Jun Liu, Yang Xu (auth.) linguistic fuzzy linguistic values based linguistic values based. Publisher Summary. This chapter proposes a new approach to fuzzy adaptive controller design using only system input–output data. The design procedure consists of three steps: First, a fuzzy ARMAX model is identified using the available data; then, a fuzzy controller is derived based on a combination of sliding mode control (SMC) theory and fuzzy control methodology; finally, the.

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Advances in Intelligent Information Processing: Tools and Applications Deals with several key aspects of developing technologies in information processing systems. This book explains various problems related to advanced image processing systems and describes some of.

About this Series. The book series Computational Intelligence Systems aims to cover state-of-the-art research and development in all fields where computational intelligence (CI) is investigated and applied.

The series seeks to publish monographs and edited volumes on foundations and new developments in the field of computational intelligence, including fundamental and applied. Linguistic Values Based Intelligent Information Processing: Theory, Methods and Applications by Yang Xu, Jun Liu and Zheng Pei Atlantis Press / World Scientific Pub Date: 01/ ISBN: Format: Hbk pages.

International Journal of Knowledge-based and Intelligent Engineering Systems - Vol issue 1 Engine Control and Vehicle Applications, Intelligent Signal Processing and Wavelets, Intelligent Customer Support systems. Keywords: Multiple attribute decision making, hesitant fuzzy uncertain linguistic values, hesitant fuzzy uncertain.

Imprecise-information processing – a type of processing based on flexible linguistic values and quantifiable rigid linguistic values – is an important component of intelligence science and technology.

This book offers an easy-to-understand overview of the basic principles and methods of imprecise-information processing, allowing readers to.

The aim of research into Knowledge-Based and Intelligent Engineering is to develop systems that replicate the analytical, problem solving and learning capabilities of the brain. Engine Control and Vehicle Applications, Intelligent Signal Processing and Wavelets, Intelligent Customer Support systems.

The method is based on aggregation of. Herrera and Martinez () show 2-tuple linguistic information processing manner can effectively avoid the loss and distortion of information. It has a distinct advantage over other linguistic processing methods in accuracy and reliability.

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