Skip to main content
SpringerLink
Log in

Uncertainty Data in Interval-Valued Fuzzy Set Theory

Properties, Algorithms and Applications

  • Book
  • © 2019

Overview

Authors:
  1. Barbara Pękala

    1. Interdisciplinary Centre for Computational Modelling, Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rzeszów, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Focuses on interval-valued fuzzy aggregations, and its importance for solving multi criteria decision making problems
  • Describes fuzzy set based methods for dealing with incomplete knowledge
  • Highlights the case of imprecise data represented as intervals

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 367)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (4 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction to Fuzzy Sets

    • Barbara Pȩkala
    Pages 1-20

  3. Interval-Valued Fuzzy Relations

    • Barbara Pȩkala
    Pages 21-89

  4. Applications

    • Barbara Pȩkala
    Pages 91-151

  5. Summary and Open Problems

    • Barbara Pȩkala
    Pages 153-156

  6. Back Matter

    Pages 157-181
    Download chapter PDF
Back to top

Keywords

About this book

This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data.  

Authors and Affiliations

  • Interdisciplinary Centre for Computational Modelling, Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rzeszów, Poland

    Barbara Pękala

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation