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Advances in Fuzzy Decision Making

Theory and Practice

  • Book
  • © 2015

Overview

  • cutting-edge research in fuzzy decision theory and applications
  • how to deal with uncertain and incomplete information in decision-making
  • Includes practical case-studies on real-life management problems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 333)

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Table of contents (8 chapters)

Keywords

About this book

This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for researchers in decision-making and decision-makers in business organizations alike.

Authors and Affiliations

  • AGH University of Science and Technology, Kraków, Poland

    Iwona Skalna, Bogdan Rębiasz, Bartłomiej Gaweł, Janusz Opiła, Tomasz Pełech-Pilichowski

  • AGH University of Science and Techn, Kraków, Poland

    Beata Basiura

  • AGH University of Science and Technology, Krakow, Poland

    Jerzy Duda

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