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Advances in Pairwise Comparisons

Bag om Advances in Pairwise Comparisons

This book tackles issues associated with inconsistency in pairwise comparisons from both theoretical and practical perspectives. Human judgments are seldom absolutely consistent, or absolutely precise, therefore problems of measuring and handling inconsistency belong among hot topics of the current research, especially in the theoretical framework of multiple criteria decision aiding (MCDA). The book presents and discusses the state-of-the-art of this field including both cardinal and ordinal inconsistency, the problems of different scales for comparisons and inconsistency reduction, and the alternative approaches to inconsistency detection and measurement. This book is a unique one-stop guide for readers who are interested in inconsistency in pairwise comparisons. Researchers and practitioners in the area of multiple-criteria decision-making (MCDM) and the analytic hierarchy process (AHP) will find this informative book particularly valuable.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031238833
  • Indbinding:
  • Hardback
  • Sideantal:
  • 160
  • Udgivet:
  • 23. marts 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 160x15x241 mm.
  • Vægt:
  • 412 g.
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 16. januar 2025
Forlænget returret til d. 31. januar 2025
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Beskrivelse af Advances in Pairwise Comparisons

This book tackles issues associated with inconsistency in pairwise comparisons from both theoretical and practical perspectives. Human judgments are seldom absolutely consistent, or absolutely precise, therefore problems of measuring and handling inconsistency belong among hot topics of the current research, especially in the theoretical framework of multiple criteria decision aiding (MCDA). The book presents and discusses the state-of-the-art of this field including both cardinal and ordinal inconsistency, the problems of different scales for comparisons and inconsistency reduction, and the alternative approaches to inconsistency detection and measurement.

This book is a unique one-stop guide for readers who are interested in inconsistency in pairwise comparisons. Researchers and practitioners in the area of multiple-criteria decision-making (MCDM) and the analytic hierarchy process (AHP) will find this informative book particularly valuable.

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