The management of socioeconomic safety /

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Bibliographic Details
Author / Creator:Solozhent︠s︡ev, E. D. (Evgeniĭ Dmitrievich), author.
Imprint:Newcastle upon Tyne, UK : Cambridge Scholars Publishing, 2017.
Description:1 online resource (xxiv, 230 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12018195
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ISBN:9781527505100
1527505103
1443891193
9781443891196
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (EBSCO, viewed November 9, 2017).
Summary:This book introduces a new scientific approach to the economy and a new academic discipline titled "Socioeconomic safety management" (SSM) on the basis of the event approach and logical and probabilistic (LP) risk models. It addresses the definitions of invalidity in the economy through analogies with reliability in engineering. The special features and advantages of the discipline and its components are outlined here, with a specific focus on the methods, models, technologies, tasks, objects and software. New types of Boolean "events-propositions" in economy are also introduced, as are new ty.
Table of Contents:
  • Contents
  • Abbreviations
  • Abstract
  • Foreword
  • Introduction
  • Chapter One
  • 1.1. Components of Top-economics
  • 1.2. Definitions of Invalidity
  • 1.3. Advantages and Features of Top-economics
  • 1.4. Boolean Events-propositions in Economic Safety
  • 1.5. New Types of LP-risk Models
  • 1.5.1. Hybrid LP-risk Model of Risk of Failure to Solve Difficult Problems
  • 1.5.2. LP-models of Invalidity of Socioeconomic Systems
  • 1.5.3. Conceptual LP-risk Models of Forecasting of Invalidity
  • 1.5.4. Indicative LP-risk Models of the Systemâ#x80;#x99;s Danger State
  • 1.6. Database and Knowledge Base of Socioeconomic Systems1.6.1. Data Structure and Statistical Database
  • 1.6.2. Events-parameters and Events-grades
  • 1.6.3. The Transition from the Database to Table Knowledge Base
  • 1.6.4. The Knowledge Base and the System of L-equations
  • 1.7. Incompatible Events Groups
  • 1.7.1. Logic and Probabilities in Incompatible Events Groups
  • 1.7.2. The Bayes Formula for Probabilities in Incompatible Events Groups
  • 1.8. Risk Management Technologies in Structure-complex Systems (SCS)
  • 1.8.1. Components of Risk Management Technologies
  • 1.8.2. Classes of LP-risk Models1.8.3. Risk Management Technologies Procedures
  • 1.8.4. Research Topics on Risk Management Technologies
  • 1.9. Development of LP-risk Models of Socioeconomic Systems
  • 1.9.1. Formal Methods of Development
  • 1.9.2. Associative LP-risk Models
  • 1.9.3. Tabular Assignment of LP-risk Models
  • 1.9.4. Development of Complex LP-risk Models
  • 1.9.5. Development of Invalidity LP-models of Systems
  • 1.10. Risk LP-analysis of Socioeconomic System States
  • 1.11. LP-forecasting of Risk in States Space
  • 1.12. Risk LP-management of Socioeconomic Systems1.13. Dynamism of LP-risk Models
  • 1.14. Synthesis of Events Probabilities
  • 1.15. Regulation and Management in Economics
  • 1.16. Objective and Subjective Invalidity
  • 1.17. Connection between SES and Environment
  • 1.18. Unforgotten Knowledge
  • 1.19. Concepts and Principles of Safety Management of SES
  • Chapter Two
  • 2.1. Logical and Probabilistic Risk Management of Economic State of Russia
  • 2.1.1. LP-risk Model of Economic State
  • 2.1.2. LP-risk Analysis of Economic State
  • 2.1.3. LP-risk Management of Economic State2.1.4. LP-management of Economic War with Sanctions
  • 2.1.5. LP-risk Management of Socioeconomic Evolution of Country
  • 2.1.6. Improvement and Correction of LP-risk Model
  • 2.2. LP-management of the Countryâ#x80;#x99;s Innovations System
  • 2.2.1. Global Innovative Index
  • 2.2.2. Logic Global Innovative Index
  • 2.2.3. Analysis of the Development and Evaluation of Innovation of RMT SCS
  • 2.2.4. Hybrid LP-model of Failure of Solution of Innovation Problem
  • 2.3. LP-models for Counteraction against Corruption