Name: Statistical Modeling, Analysis and Management of Fuzzy Data (en Inglés)
SKU: 67386159
Price: 51.74 USD
Availability: InStock
Author: Carlo Bertoluzza;Maria A. Gil;Dan A. Ralescu

portada Statistical Modeling, Analysis and Management of Fuzzy Data (en Inglés)

Statistical Modeling, Analysis and Management of Fuzzy Data (en Inglés)

Formato

Libro Físico

Editorial

Physica

Autor

Carlo Bertoluzza;Maria A. Gil;Dan A. Ralescu

Año

2012

Idioma

Inglés

N° páginas

324

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.7 cm

ISBN13

9783662003329

Statistical Modeling, Analysis and Management of Fuzzy Data (en Inglés)

Carlo Bertoluzza;Maria A. Gil;Dan A. Ralescu (Autor) · Physica · Tapa Blanda

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Reseña del libro "Statistical Modeling, Analysis and Management of Fuzzy Data (en Inglés)"

"Statistical Modeling, Analysis and Management of Fuzzy Data," or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree. In substance, the issue is: are fuzziness and randomness distinct or coextensive facets of uncertainty? Are the theories of fuzziness and random ness competitive or complementary? In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn, in the main, from probability theory, fuzzy set theory and data analysis com munities. First, a historical perspective. The almost simultaneous births -close to half a century ago-of statistically-based information theory and cybernetics were two major events which marked the beginning of the steep ascent of probability theory and statistics in visibility, influence and importance. I was a student when information theory and cybernetics were born, and what is etched in my memory are the fascinating lectures by Shannon and Wiener in which they sketched their visions of the coming era of machine intelligence and automation of reasoning and decision processes. What I heard in those lectures inspired one of my first papers (1950) "An Extension of Wiener's Theory of Prediction," and led to my life-long interest in probability theory and its applications to information processing, decision analysis and control.