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Fuzzy Portfolio Optimization Advances in Hybrid Multi-criteria Methodologies /

This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio opt...

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Main Authors: Gupta, Pankaj. (Author, http://id.loc.gov/vocabulary/relators/aut), Mehlawat, Mukesh Kumar. (http://id.loc.gov/vocabulary/relators/aut), Inuiguchi, Masahiro. (http://id.loc.gov/vocabulary/relators/aut), Chandra, Suresh. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Studies in Fuzziness and Soft Computing, 316
Subjects:
Computational intelligence.
Mathematical optimization.
Economics.
Management science.
Computational Intelligence.
Optimization.
Economics, general.
Online Access:https://doi.org/10.1007/978-3-642-54652-5
Table of Contents:
  • Portfolio optimization: an overview
  • Portfolio optimization with interval coefficients
  • Portfolio optimization in fuzzy environment
  • Possibilistic programming approaches to portfolio optimization
  • Portfolio optimization using credibility theory
  • Multi-criteria fuzzy portfolio optimization
  • Suitability considerations in multi-criteria fuzzy portfolio optimization-I
  • Suitability considerations in multi-criteria fuzzy portfolio optimization-II
  • Ethicality considerations in multi-criteria fuzzy portfolio optimization
  • Multi-criteria portfolio optimization using support vector machines and genetic algorithms.

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