1.

Record Nr.

UNISALENTO991003809219707536

Autore

Mullen, Gary L.

Titolo

Finite fields and applications / Gary L. Mullen, Carl Mummert

Pubbl/distr/stampa

Providence, R. I. : American Mathematical Society

[University Park, Pa.] : Mathematics Advanced Study Semesters, 2007

ISBN

9780821844182

0821844180

Descrizione fisica

ix, 175 p. : ill. ; 22 cm

Collana

Student mathematical library, 1520-9121 ; 41

Classificazione

AMS 12E20

LC QA247.3.M85

Altri autori (Persone)

Mummert, Carlauthor

Disciplina

512.74

Soggetti

Finite fields (Algebra)

Coding theory

Cryptography

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references (p. 165-169) and index



2.

Record Nr.

UNINA9910437916803321

Autore

Starczewski Janusz T

Titolo

Advanced concepts in fuzzy logic and systems with membership uncertainty / / Janusz T. Starczewski

Pubbl/distr/stampa

Berlin ; ; New York, : Springer, c2013

ISBN

9783642295201

3642295207

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (XII, 308 p.)

Collana

Studies in fuzziness and soft computing, , 1434-9922 ; ; 284

Disciplina

511.3/223

Soggetti

Fuzzy sets

Uncertainty (Information theory)

Fuzzy logic

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Uncertainty in Fuzzy Sets -- Algebraic Operations on Fuzzy Valued Fuzzy Sets -- Defuzzification of Uncertain Fuzzy Sets -- Generalized Uncertain Fuzzy Logic Systems -- Uncertainty Generation in Uncertain Fuzzy Logic Systems -- Designing Uncertain Fuzzy Logic Systems.

Sommario/riassunto

This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory.            In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or fuzzy control and classification, and is especially dedicated to researchers



and practitioners in industry.  .