Results 211 to 220 of about 31,194 (261)
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A fuzzy modeling for fuzzy portfolio optimization
Expert Systems with Applications, 2011Abstract Conventional portfolio optimization models have an assumption that the future condition of stock market can be accurately predicted by historical data. However, no matter how accurate the past data is, this premise will not exist in the financial market due to the high volatility of market environment.
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On Fuzzy Optimization Foundation
2019In this work we discuss the fuzzy optimization problem, in order to provide a mathematical approach to the foundation of optimization problem in the fuzzy context. By the Zadeh’s extension principle we revisit the decision method stated by Bellman and Zadeh.
Laécio C. Barros +2 more
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Fuzzy Numbers and Fuzzy Optimization
2019A fuzzy number is a quantity whose value is imprecise rather than exact as is the case with single-valued number.
Sahidul Islam, Wasim Akram Mandal
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Fuzzy Reasoning for Fuzzy Optimization
2002Following Fuller and Zimmermann [135], we interpret fuzzy linear programming (FLP) problems with fuzzy coefficients and fuzzy inequality relations as multiple fuzzy reasoning schemes (MFR) , where the antecedents of the scheme correspond to the constraints of the FLP problem and the fact of the scheme is the objective of the FLP problem.
Christer Carlsson, Robert Fullér
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Optimal fuzzy profit for price in fuzzy sense
Fuzzy Sets and Systems, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jing-Shing Yao, Der-Chen Lin
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Fuzzy Optimality and Evolutionary Multiobjective Optimization
2003Pareto optimality is someway ineffective for optimization problems with several (more than three) objectives. In fact the Pareto optimal set tends to become a wide portion of the whole design domain search space with the increasing of the numbers of objectives. Consequently, little or no help is given to the human decision maker.
Marco Farina, Paolo Amato
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FUZZY OPTIMIZATION OF REAL FUNCTIONS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004The main goal of this paper is to develop such means of analysis that allows us to reflect and model vagueness and uncertainty of our knowledge, which result from imprecision of measurement and inaccuracy of computation. To achieve this goal, we use here neoclassical analysis to problems of optimization.
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Fuzzy optimization: Milestones and perspectives
Fuzzy Sets and Systems, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimal solution of fuzzy optimization using pentagonal fuzzy numbers
AIP Conference Proceedings, 2018The fundamental goal of portfolio optimization is to optimally allocate funds between different investment alternatives. The mean-variance (MV) methodology has become the most important quantitative tool used which considers the trade-off between risk and return.
Suhailywati Ramli, Saiful Hafizah Jaaman
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Optimal Fuzzy Aggregation of Networks
Multiscale Modeling & Simulation, 2010This paper is concerned with the problem of fuzzy aggregation of a network with nonnegative weights on its edges into a small number of clusters. Specifically, we want to optimally define a probability of affiliation of each of the n nodes of the network to each of $m\ll n$ clusters or aggregates.
Marco Sarich +2 more
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