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Intelligent Decision Support Systems

Bag om Intelligent Decision Support Systems

This book presents a collection of essays written by leading researchers to honor Roman S¿owi¿ski¿s major scholarly interests and contributions. He is well-known for conducting extensive research on methodologies and techniques for intelligent decision support, where he combines operational research and artificial intelligence. The book reconstructs his main contributions, presents cutting-edge research and provides an outlook on the most promising and advanced domains of computer science and multiple criteria decision aiding. The respective chapters cover a wide range of related research areas, including decision sciences, ordinal data mining, preference learning and multiple criteria decision aiding, modeling of uncertainty and imprecision in decision problems, rough set theory, fuzzy set theory, multi-objective optimization, project scheduling and decision support applications. As such, the book will appeal to researchers and scholars in related fields.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030963200
  • Indbinding:
  • Paperback
  • Sideantal:
  • 460
  • Udgivet:
  • 2. juni 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x25x235 mm.
  • Vægt:
  • 692 g.
  • BLACK NOVEMBER
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 20. november 2024

Beskrivelse af Intelligent Decision Support Systems

This book presents a collection of essays written by leading researchers to honor Roman S¿owi¿ski¿s major scholarly interests and contributions. He is well-known for conducting extensive research on methodologies and techniques for intelligent decision support, where he combines operational research and artificial intelligence. The book reconstructs his main contributions, presents cutting-edge research and provides an outlook on the most promising and advanced domains of computer science and multiple criteria decision aiding.
The respective chapters cover a wide range of related research areas, including decision sciences, ordinal data mining, preference learning and multiple criteria decision aiding, modeling of uncertainty and imprecision in decision problems, rough set theory, fuzzy set theory, multi-objective optimization, project scheduling and decision support applications. As such, the book will appeal to researchers and scholars in related fields.

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