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Multiple Objective Analytics for Criminal Justice Systems [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Evans, Gerald W.
  • Author:  Evans, Gerald W.
  • ISBN-10:  0367517353
  • ISBN-10:  0367517353
  • ISBN-13:  9780367517359
  • ISBN-13:  9780367517359
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  156
  • Pages:  156
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  0367517353-11-MPOD
  • SKU:  0367517353-11-MPOD
  • Item ID: 106990501
  • Seller: ShopSpell
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Criminal justice systems are complex and difficult to design and operate. This is due to their many interacting parts, and their dynamic and probabilistic nature, as well as their interfaces with other systems. This book reviews the use of analytics to address issues in criminal justice system and discusses the various sources of data associated with the systems.

This book is meant to be used by those who would like 1) an introduction to criminal justice systems and 2) an illustration of how some of the various methodologies of analytics can be used to address specific issues in criminal justice systems.

This book will be of interest to faculty, students, and researchers in schools/departments of criminal justice, law, public affairs, political science, industrial engineering, and management. In addition, the book should be of use to government analysts who study the effects of criminal programs and laws.

1. Criminal Justice Systems in the United States: Basic Concepts. 2. Analytics and Criminal Justice Systems. 3. Using Analytics to Address Programs and Policies Associated with Criminal Justice Systems. 4. Using Analytics to Analyze and Improve State and Federal Laws.

Criminal justice systems are complex and difficult to design and operate. This is due to their many interacting parts, and dynamic and probabilistic nature, as well as their interfaces with other systems. This book reviews the use of analytics to address issues in criminal justice systems and the various data sources.

Gerald W. Evans is Professor Emeritus in the Department of Industrial Engineering at the University of Louisville (UL). His research and teaching interests lie in the areas of multiciteria decision analysis, simulation modeling and analysis, optimization, logistics and project management.

Previous positions include Industrial Engineer for thl“¸

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