Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications

Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications

Honda, Katsuhiro
Chen, Tin-Chih Toly

Paperback

Series: Springerbriefs in Applied Sciences and Technology

DatabasesGeneral ComputersGeneral Science

ISBN10: 3030225739
ISBN13: 9783030225735
Publisher: Springer
Published: Jun 27 2019
Pages: 89
Weight: 0.33
Height: 0.21 Width: 6.14 Depth: 9.21
Language: English
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.

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