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Uncertainty Management with Fuzzy and Rough Sets

Recent Advances and Applications

  • Book
  • © 2019

Overview

  • Presents a number of fuzzy-logic based methods for managing uncertainty in different areas of science
  • Describes cutting-edge approaches and their applications to key problems in operations research
  • Includes extended, selected contributions presented at ISFUROS2017

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 377)

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Table of contents (20 chapters)

  1. Fuzzy Sets: Theory and Applications

  2. Rough Sets: Theory and Applications

  3. Hybrid Approaches

Keywords

About this book

This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.

Editors and Affiliations

  • Department of Computer Science, Universidad Central "Marta Abreu" de Las Villas, Santa Clara, Cuba

    Rafael Bello

  • School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

    Rafael Falcon

  • Department of Computer Science and Artificial Intelligence, Technical School of Informatics and Telecommunications Engineering, University of Granada, Granada, Spain

    José Luis Verdegay

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