Fuzzy Systems for Information Processing

Fuzzy Systems for Information Processing
Author :
Publisher : IOS Press
Total Pages : 202
Release :
ISBN-13 : 427490041X
ISBN-10 : 9784274900419
Rating : 4/5 (19 Downloads)

Book Synopsis Fuzzy Systems for Information Processing by : Kiyoji Asai

Download or read book Fuzzy Systems for Information Processing written by Kiyoji Asai and published by IOS Press. This book was released on 1995 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Fuzzy Systems for Information Processing Related Books

Fuzzy Systems for Information Processing
Language: en
Pages: 202
Authors: Kiyoji Asai
Categories: Automatic control
Type: BOOK - Published: 1995 - Publisher: IOS Press

DOWNLOAD EBOOK

Fuzzy Information Processing 2020
Language: en
Pages: 451
Authors: Barnabás Bede
Categories: Technology & Engineering
Type: BOOK - Published: 2021-12-08 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book describes how to use expert knowledge—which is often formulated by using imprecise (fuzzy) words from a natural language. In the 1960s, Zadeh design
Handbook of Research on Fuzzy Information Processing in Databases
Language: en
Pages: 899
Authors: Galindo, Jos‚
Categories: Computers
Type: BOOK - Published: 2008-05-31 - Publisher: IGI Global

DOWNLOAD EBOOK

"This book provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases
Fuzzy Information Processing
Language: en
Pages: 0
Authors: Guilherme A. Barreto
Categories: Computers
Type: BOOK - Published: 2018-07-04 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the thoroughly refereed proceedings of the 37th IFSA Conference, NAFIPS 2018, held in Fortaleza, Brazil, in July 2018. The 55 full papers
Fuzzy Logic for Image Processing
Language: en
Pages: 141
Authors: Laura Caponetti
Categories: Technology & Engineering
Type: BOOK - Published: 2016-09-16 - Publisher: Springer

DOWNLOAD EBOOK

This book provides an introduction to fuzzy logic approaches useful in image processing. The authors start by introducing image processing tasks of low and medi