| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA990009601390403321 |
|
|
Titolo |
Etica e metodo : considerazioni sull'antropologia visuale / a cura di Paolo Chiozzi |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Collana |
|
Popoli culture e società ; 6 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Locazione |
|
|
|
|
|
|
|
|
Collocazione |
|
306.072 CHI 1 |
300 CHIO 02 |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
|
|
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 |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2013.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XII, 308 p.) |
|
|
|
|
|
|
Collana |
|
Studies in fuzziness and soft computing, , 1434-9922 ; ; 284 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Fuzzy sets |
Uncertainty (Information theory) |
Fuzzy logic |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
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. . |
|
|
|
|
|
| |