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Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation - Real and Near Real Time Analysis and Decision Making System (Hardcover, 1st ed. 2017) Loot Price: R3,623
Discovery Miles 36 230
You Save: R1,211 (25%)
Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation - Real and Near Real Time Analysis...

Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation - Real and Near Real Time Analysis and Decision Making System (Hardcover, 1st ed. 2017)

Bahman Zohuri, Masoud Moghaddam

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List price R4,834 Loot Price R3,623 Discovery Miles 36 230 | Repayment Terms: R340 pm x 12* You Save R1,211 (25%)

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This book provides a technical approach to a Business Resilience System with its Risk Atom and Processing Data Point based on fuzzy logic and cloud computation in real time. Its purpose and objectives define a clear set of expectations for Organizations and Enterprises so their network system and supply chain are totally resilient and protected against cyber-attacks, manmade threats, and natural disasters. These enterprises include financial, organizational, homeland security, and supply chain operations with multi-point manufacturing across the world. Market shares and marketing advantages are expected to result from the implementation of the system. The collected information and defined objectives form the basis to monitor and analyze the data through cloud computation, and will guarantee the success of their survivability's against any unexpected threats. This book will be useful for advanced undergraduate and graduate students in the field of computer engineering, engineers that work for manufacturing companies, business analysts in retail and e-Commerce, and those working in the defense industry, Information Security, and Information Technology.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: March 2017
First published: 2017
Authors: Bahman Zohuri • Masoud Moghaddam
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Hardcover
Pages: 425
Edition: 1st ed. 2017
ISBN-13: 978-3-319-53416-9
Categories: Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN: 3-319-53416-5
Barcode: 9783319534169

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