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Journal ArticleDOI

A fuzzy goal programming approach to portfolio selection

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TLDR
A fuzzy G.P. approach is applied to the optimum portfolio for a private investor, taking into account three criteria: return, risk and liquidity, where the goals and the constraints are fuzzy.
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This article is published in European Journal of Operational Research.The article was published on 2001-01-01. It has received 272 citations till now. The article focuses on the topics: Fuzzy set operations & Fuzzy number.

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Citations
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Proceedings ArticleDOI

Entropy -cost ratio maximization model for efficient stock portfolio selection using interval analysis

TL;DR: A new stock portfolio selection model in non-stochastic environment following the principle of maximum entropy is introduced as the objective function and eight different types of constraints are used in the model to convert it into a pragmatic one.
Proceedings ArticleDOI

Modeling transaction costs and skewness in portfolio: Application of fuzzy approach

TL;DR: The empirical results using 144 stocks in Taiwan Stock Exchange confirm the benefits of fuzzy decision making with inclusion of higher moment risk, skewness, in portfolio model, particularly when short-sale is allowed.

Select Efficient Portfolio through Goal Programming Model

TL;DR: This integrated model would be able to simultaneously solve the 4 steps of choosing optimal stock basket for stack holders in a way that first chooses the efficient stock baskets as a goal with the first priority and then deals with other goals to reach the investigator's fatnesses.
Journal Article

Implementation of optimum resource allocation by fuzzy goal programming : the case of higher education system

TL;DR: Fuzzy Goal Programming has been used to determine optimum allocation of education equipment such as computer and laptop to the faculty members and officers at different level of positions.
Book ChapterDOI

Interval Mean-Semiabsolute Deviation Model

TL;DR: Li et al. as discussed by the authors proposed an interval portfolio selection model based on mean-semi-absolute deviation (MSA) model, and Li and Xu proposed a quadratic interval mean-variance model.
References
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Journal ArticleDOI

Capital asset prices: a theory of market equilibrium under conditions of risk*

TL;DR: In this paper, the authors present a body of positive microeconomic theory dealing with conditions of risk, which can be used to predict the behavior of capital marcets under certain conditions.
Book ChapterDOI

The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets

TL;DR: In this article, the problem of selecting optimal security portfolios by risk-averse investors who have the alternative of investing in risk-free securities with a positive return or borrowing at the same rate of interest and who can sell short if they wish is discussed.
Journal ArticleDOI

Fuzzy sets as a basis for a theory of possibility

TL;DR: The theory of possibility described in this paper is related to the theory of fuzzy sets by defining the concept of a possibility distribution as a fuzzy restriction which acts as an elastic constraint on the values that may be assigned to a variable.
Book

Multiple Attribute Decision Making: Methods and Applications

TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
Journal ArticleDOI

The arbitrage theory of capital asset pricing

TL;DR: Ebsco as mentioned in this paper examines the arbitrage model of capital asset pricing as an alternative to the mean variance pricing model introduced by Sharpe, Lintner and Treynor.