Portfolio selection problem based on possibility theory using the scenario model with ambiguous future returns

Takashi Hasuike, Hiroaki Ishii

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In this paper, we propose the solution method about the multiobjective portfolio selection problem, particularly the scenario model to include the ambiguous factors and chance constraints. Generally, mathematical programming problems with probabilities and possibilities are called to stochastic programming problem and fuzzy programming problem, and it is difficult to find its global optimal solution. In this paper, we manage to develop the efficient solution method to find its global optimal solution of such a problem introducing the some subproblems.

Original languageEnglish
Title of host publicationTheoretical Advances and Applications of Fuzzy Logic and Soft Computing
EditorsOscar Castillo, Patricia Melin, Oscar Montiel Ross, Roberto Sepulveda Cruz, Witold Pedrycz, Janusz Kacprzyk
Pages314-323
Number of pages10
DOIs
Publication statusPublished - 2007 Dec 1
Externally publishedYes

Publication series

NameAdvances in Soft Computing
Volume42
ISSN (Print)1615-3871
ISSN (Electronic)1860-0794

Keywords

  • Chance constraint
  • Portfolio selection problem
  • Possibility and Necessity measure
  • Scenario model

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mechanics
  • Computer Science Applications

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