Multiple Criteria Decision Making and Aiding

Beschreibung

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.
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.

Introduces a large set of relevant, real-world case studies where the focus lies in the implementation of the investigated method Presents a guide for students to learn how to solve problems and implement methods with multiple conflicting objectives Includes a variety of MCDA and MCDM methods and tools

Autor*in

Sandra Huber

Themen in »Multiple Criteria Decision Making and Aiding«

optimization methods MCDM MCDA robust ordinal regression MAVT/MAUT decision rule approach preference modelling group decision making data envelopment analysis

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