Name: Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications (Springerbriefs in Applied Sciences and Technology) (en Inglés)
SKU: 51873945
Price: 54.12 USD
Availability: InStock
Author: Tin-Chih Toly Chen

portada Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications (Springerbriefs in Applied Sciences and Technology) (en Inglés)

Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications (Springerbriefs in Applied Sciences and Technology) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Tin-Chih Toly Chen

Año

2019

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9783030225735

N° edición

Categorías

Inteligencia artificial

Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications (Springerbriefs in Applied Sciences and Technology) (en Inglés)

Tin-Chih Toly Chen (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 23 días háb.

$ 108.24$ 54.12

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 54.12

Llega entre el 15 Sep y el 28 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications (Springerbriefs in Applied Sciences and Technology) (en Inglés)"

This book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications. It demonstrates how dealing with disparate data sources is becoming more and more popular due to the increasing spread of internet applications. The book proposes the concepts of collaborative computing intelligence and collaborative fuzzy modeling, and establishes several so-called fuzzy collaborative systems. It shows how technical constraints, security issues, and privacy considerations often limit access to some sources. This book is a valuable source of information for postgraduates, researchers and fuzzy control system developers, as it presents a very effective fuzzy approach that can deal with disparate data sources, big data, and multiple expert decision making.