Name: Fuzzy Relational Systems: Foundations and Principles (en Inglés)
Price: 749.14 PEN
Availability: InStock
Author: Belohlávek, Radim
ISBN: 9781461351689

portada Fuzzy Relational Systems: Foundations and Principles (en Inglés)

Formato

Libro Físico

Autor

Radim Belohlávek

Editorial

Springer

Idioma

Inglés

N° páginas

369

Encuadernación

Tapa Blanda

Dimensiones

25.4 x 17.8 x 2.0 cm

Peso

0.66 kg.

ISBN13

9781461351689

Categorías

Bibliografias
Teoría de los conjuntos
Jardinería

Fuzzy Relational Systems: Foundations and Principles (en Inglés)

Radim Belohlávek (Autor) · Springer · Tapa Blanda

Libro Nuevo

S/ 749,14

S/ 1.498,27

Ahorras: S/ 749,14

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Martes 30 de Julio y el Martes 13 de Agosto.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Fuzzy Relational Systems: Foundations and Principles (en Inglés)"

Since their inception, fuzzy sets and fuzzy logic became popular. The reason is that the very idea of fuzzy sets and fuzzy logic attacks an old tradition in science, namely bivalent (black-or-white, all-or-none) judg- ment and reasoning and the thus resulting approach to formation of scientific theories and models of reality. The idea of fuzzy logic, briefly speaking, is just the opposite of this tradition: instead of full truth and falsity, our judgment and reasoning also involve intermediate truth values. Application of this idea to various fields has become known under the term fuzzy approach (or graded truth approach). Both prac- tice (many successful engineering applications) and theory (interesting nontrivial contributions and broad interest of mathematicians, logicians, and engineers) have proven the usefulness of fuzzy approach. One of the most successful areas of fuzzy methods is the application of fuzzy relational modeling. Fuzzy relations represent formal means for modeling of rather nontrivial phenomena (reasoning, decision, control, knowledge extraction, systems analysis and design, etc. ) in the pres- ence of a particular kind of indeterminacy called vagueness. Models and methods based on fuzzy relations are often described by logical formulas (or by natural language statements that can be translated into logical formulas). Therefore, in order to approach these models and methods in an appropriate formal way, it is desirable to have a general theory of fuzzy relational systems with basic connections to (formal) language which enables us to describe relationships in these systems.