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Soft Computing Based Optimization and Decision Models

To Commemorate the 65th Birthday of Professor José Luis "Curro" Verdegay

  • Book
  • © 2018

Overview

  • Presents advanced soft computing methods for solving decision and optimization problems
  • Guides readers through the use of soft computing in real-world applications
  • Offers a review of soft-computing applications in challenging areas
  • Provides a point of departure for young researchers dealing with soft computing, optimization and decision-making models
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 360)

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Table of contents (18 chapters)

Keywords

About this book

This book offers a timely snapshot of current soft-computing research and solutions to decision-making and optimization problems, which are ubiquitous in the current social and technological context, addressing fields including logistics, transportation and data analysis.  Written by leading international experts from the United States, Brazil and Cuba, as well as the United Kingdom, France, Finland and Spain, it discusses theoretical developments in and practical applications of soft computing in fields where these methods are crucial to obtaining better models, including: intelligent transportation systems, maritime logistics, portfolio selection, decision- making, fuzzy cognitive maps, and fault detection.  The book is dedicated to Professor José L. Verdegay, a pioneer who has been actively pursuing research in fuzzy sets theory and soft computing since 1982, in honor of his 65th birthday.

Editors and Affiliations

  • Department of Computer Science and A.I. Higher Technical School of Information Technology and Telecommunications Engineering, University of Granada, Granada, Spain

    David A. Pelta

  • Department of Computer Science and A.I. Higher Technical School of Information Technology and Telecommunications Engineering, University of Granada , Granada, Spain

    Carlos Cruz Corona

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