Selecting stock portfolio using multi-objective stochastic programming and interval fuzzy numbers
Publish place: 9th International Industrial Engineering Conference
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC09_107
تاریخ نمایه سازی: 26 اسفند 1391
Abstract:
Uncertainty problems related to a financial market are traditionally dealt with stochastic or fuzzy approaches. Comparing with fuzzy variables with complex distributionfunctions, intervals can be more easily operated. Thus it is a good alternative to formulate an optimization problem with an intervalmodel under some uncertain environment such as investment in a portfolio. This paper presents a decision support model called Interval Chance Constrained Goal Attainment Programming (ICCGAP) to optimize multi-objective portfolio decision problem under uncertainty. ICCGAP is a combination of the well-knownclassical approach of Chance Constrained programming (CCP) and A-priori multi-objective approach of Goal AttainmentProgramming (GAP) with interval fuzzy numbers. In ICCGAP, random variables are considered normally distributed with intervals means and known variances. Proposed model is illustrated by a multi-objective problem to select optimal portfolio in Iran stock exchange market under uncertainty. Results obtain under pessimistic and optimistic conditions of objectives.
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Authors
Mostafa Ekhtiari
Qazvin Branch, Islamic Azad University
Jafar Razmi
College of Engineering, University of Tehran
Mohammad Javad Azizan
South Tehran Branch, Islamic Azad University
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