Fuzzy Information Processing 2023

Kelly Cohen

ISBN 10: 3031467779 / ISBN 13: 9783031467776

Published by Springer Nature Switzerland, Springer Nature Switzerland, 2023

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book is an overview of latest successes and applications of fuzzy techniques-techniques that use expert knowledge formulated by natural-language words like 'small'. Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior.In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.

Seller Inventory # 9783031467776

Bibliographic Details

• Title: Fuzzy Information Processing 2023
• Publisher: Springer Nature Switzerland, Springer Nature Switzerland
• Publication Date: 2023
• Language: English
• ISBN 10: 3031467779
• ISBN 13: 9783031467776
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 20D millimeters 235 millimeters width by 155 millimeters height by 20 millimeters depth
• Weight: 557 grams

About this title

Synopsis

This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior.

 In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.