Abstract
In this paper we consider portfolio selection problem with interval and fuzzy objective function coefficients as a kind of multiple objective problems including uncertainties. For this problem two kinds of efficient solutions are introduced: possibly efficient solution as an optimistic solution, necessarily efficient solution as a pessimistic solution. Investigating the properties of two efficiency conditions by means of preference cones and feasible region, we discuss that the two kinds of solutions can be identified with the sets of combinations of lower or upper bounds of intervals.
Similar content being viewed by others
References
Bitran, G. R.: Linear Multiple Objective Problems with Interval Coefficients, Management Science 26 (1980), pp. 694–706.
Ida, M.: Interval Multiobjective Programming and Mobile Robot Path Planning, in: New Frontier in Computational Intelligence and Its Applications, IOS Press, 2000, pp. 313–322.
Ida, M.: Optimality on Possibilistic Linear Programming with Normal Possibility Distribution Coefficient, Japanese Journal of Fuzzy Theory and Systems 7 (1995), pp. 349–360.
Ida, M.: Portfolio Selection Problem with Interval Coefficients, Applied Mathematics Letters 16 (2003), pp. 709–713.
Ida, M.: Possibility Degree and Sensitivity Analysis in Possibilistic Multiobjective Linear Programming Problems, in: Proc. of the 8th IEEE International Conference on Fuzzy Systems 1, 1999, pp. 22–27.
Ida, M.: Robust Efficient Basis of Interval Multiple Criteria and Multiple Constraint Level Linear Programming, in: Multi-Objective Programming and Goal Programming: Theory and Application, Springer, 2003, pp. 165–170.
Ida, M. and Katai, O.: Discrimination Methods of Efficient Solutions for Multiobjective Linear Programming Problems with Interval Coefficients, Trans. of the Soc. of Instrument and Control Engineers Japan 29 (1993), pp. 1247–1249.
Inuiguchi, M. and Ramik, J.: Possibilistic Linear Programming: A Brief Review of Fuzzy Mathematical Programming and a Comparison with Stochastic Programming in Portfolio Selection Problem, Fuzzy Sets and Systems 115 (2000), pp. 3–28.
Inuiguchi, M. and Sakawa, M.: Possible and Necessary Efficiency in Possibilistic Multiobjective Linear Programming Problems and Possible Efficiency Test, Fuzzy Sets and Systems 78 (1996), pp. 231–241.
Inuiguchi, M. and Tanino, T.: Portfolio Selection under Independent Possibilistic Information, Fuzzy Sets and Systems 115 (2000), pp. 82–89.
Lodwick, W. A.: Analysis of Structure in Fuzzy Linear Programs, Fuzzy Sets and Systems 38 (1990), pp. 15–26.
Markowitz, H.: Portfolio Selection: Efficient Diversification of Investment, John Wiley and Sons, 1959.
Soyster, A. L.: Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming, Operations Research 21 (1972), pp. 1154–1157.
Steinbach, M. C.: Markowitz Revised: Mean-Variance Models in Financial Portfolio Analysis, SIAM Review 43(1) (2001), pp. 31–85.
Steuer, R. E.: Multiple Criteria Optimization: Theory, Computation, and Application, John Wiley and Sons, 1986.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Ida, M. Solutions for the Portfolio Selection Problem with Interval and Fuzzy Coefficients. Reliable Computing 10, 389–400 (2004). https://doi.org/10.1023/B:REOM.0000032120.83979.d4
Issue Date:
DOI: https://doi.org/10.1023/B:REOM.0000032120.83979.d4