Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation Real and Near Real Time Analysis and Decision Making System

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 su...

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Bibliographic Details
Main Authors: Zohuri, Bahman, Moghaddam, Masoud (Author)
Format: eBook
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Resilience and Resilience System
  • Building Intelligent Models from Data Mining
  • Event Management and Best Practice
  • Event Management Categories and best Practices
  • Dynamic and Static Content Publication Workflow
  • What is Boolean Logic and How it Works
  • What is Fuzzy Logic and How it Works
  • Mathematics and Logic behind Boolean and Fuzzy Computation
  • Building Intelligent Models from Data Mining and Expert Knowledge
  • What is Data Analysis from Data Warehousing Perspective
  • Boolean Computation versus Fuzzy Logic Computation
  • Defining Threats and Critical Points for Decision Making
  • A Simple Model of Business Resilience System
  • Business Resilience System Topology of Hardware and Software
  • Cloud Computing Driven Business Resilience System
  • A General Business Resilience System Infrastructure
  • Appendix A: Generic Project Planning Management
  • Appendix B: Information on Demand
  • Appendix C: Where to Now BI: The Future of Business Intelligence and Beyond
  • Appendix D: SWOT Analysis Worksheet
  • Index