Papahristodoulou, Christos (2008): A note on the effectiveness of some de-fuzzification measures in a fuzzy pure factors portfolio.
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Abstract
There are several methods to convert fuzzy or stochastic LP to conventional LP models. In this simple paper we evaluate the effectiveness of three proposed methods, using a numerical example from a pure factors portfolio.
Item Type: | MPRA Paper |
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Original Title: | A note on the effectiveness of some de-fuzzification measures in a fuzzy pure factors portfolio |
Language: | English |
Keywords: | : fuzzy; stochastic; linear programming; pure factors portfolio |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill G - Financial Economics > G1 - General Financial Markets > G10 - General |
Item ID: | 11365 |
Depositing User: | Christos Papahristodoulou |
Date Deposited: | 04 Nov 2008 00:04 |
Last Modified: | 26 Sep 2019 18:13 |
References: | Inuiguchi, M. and J. Ramík: Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem, Fuzzy Sets and Systems, 111 (2000), 3-28. Luhandjula, M.K.: Optimization under hybrid uncertainty, Fuzzy Sets and Systems 146 (2004), 187-203. Luhandjula, M.K.: Fuzziness and randomness in an optimization framework, Fuzzy Sets and Systems 77 (1996), 291-297. Grinblatt, M. and S. Titman: Financial Markets and Corporate Strategy, McGraw-Hill, Boston, 1998. Van Hop, N.: Solving fuzzy (stochastic) linear programming problems using superiority and inferiority measures, Information Sciences, 177 (2007), 1977-91. Wolfram Research, Mathematica: Fuzzy Logic (2003). |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/11365 |