Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations: 274 1st ed. 2019 Edition

Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations: 274 1st ed. 2019 Edition book cover

Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations: 274 1st ed. 2019 Edition

Author(s): Sandra Huber (Editor), Martin Josef Geiger (Editor), Adiel Teixeira de Almeida (Editor)

  • Publisher: Springer
  • Publication Date: 8 Jan. 2019
  • Edition: 1st ed. 2019
  • Language: English
  • Print length: 321 pages
  • ISBN-10: 3319993038
  • ISBN-13: 9783319993034

Book Description

This book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases. Each case study introduces a problem or situation together with a method, and a description and explanation of a computer application. In this sense each chapter is based on four pillars: the problem, the model building, the methods and their implementation. The book presents and elaborates a rich and comprehensive set of practical problems comprising multiple criteria, including numerous approaches for their solution, for decision support or decision aid. It complements traditional textbooks and lecture material by employing case studies to promote a deeper understanding of the investigated concepts and help students apply these methods to other areas.

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From the Back Cover

This book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases. Each case study introduces a problem or situation together with a method, and a description and explanation of a computer application. In this sense each chapter is based on four pillars: the problem, the model building, the methods and their implementation. The book presents and elaborates a rich and comprehensive set of practical problems comprising multiple criteria, including numerous approaches for their solution, for decision support or decision aid. It complements traditional textbooks and lecture material by employing case studies to promote a deeper understanding of the investigated concepts and help students apply these methods to other areas.

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