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Constraint Decision-Making Systems in Engineering - Santosh Kumar Das - Bog

Constraint Decision-Making Systems in Engineeringaf Santosh Kumar Das
Bag om Constraint Decision-Making Systems in Engineering

In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781668473436
  • Indbinding:
  • Hardback
  • Sideantal:
  • 340
  • Udgivet:
  • 13. januar 2023
  • Størrelse:
  • 183x23x260 mm.
  • Vægt:
  • 838 g.
  • 8-11 hverdage.
  • 6. december 2024
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Beskrivelse af Constraint Decision-Making Systems in Engineering

In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

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