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Optimality conditions in nondifferentiable fuzzy optimization

Optimization, 2013
Abstract In the present paper, an optimal solution of a nondifferentiable fuzzy optimization problem is characterized to be fuzzy. We use the -cut to attack the fuzzy optimization problem. Then, a bicriterial optimization problem arises. Thus, the solution of the fuzzy optimization problem turns out to be Pareto optimal for the bicriterial optimization
A. Ruziyeva, S. Dempe
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Optimal vendor selection by fuzzy optimization

2008 IEEE International Conference on Service Operations and Logistics, and Informatics, 2008
The formulation of an optimal vendor selection model provides guidance in decision making for manufacturer. In this paper, we formulated a model that taking multiple objectives, multiple products and capacity limit of each vendor into account, which make the model much more applicable to practical situations.
null Ying Ding   +2 more
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On fuzzy convexity and parametric fuzzy optimization

Fuzzy Sets and Systems, 1992
The authors make a very interesting study on different types of convexity and generalized convexity of fuzzy sets. The concept of convexity is applied in order to formulate the general fuzzy nonlinear programming problem.
Ammar, Elsaid, Metz, Joachim
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Optimization under Fuzziness

2013
Fuzzy set theory has a strong track record of success in the field of Optimization under uncertainty. It offers a proper framework for coming to grips with situations where imprecision and complexity are in the state of affairs in an Optimization setting.
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Linear optimization with fuzzy variable over fuzzy polytope

Journal of Intelligent & Fuzzy Systems, 2015
Abstract In the present paper a fuzzy optimization problem with fuzzy variable and fuzzy constraints is under discussion. The purpose of the paper consists in finding a fuzzy optimal solution for this problem for the linear case. A sensible attempt to solve a fuzzy optimization problem through reformulation to a crisp optimization problem ...
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A Constraint Fuzzy Interval Analysis approach to fuzzy optimization

Information Sciences, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lodwick, Weldon A., David Jamison, K.
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Fuzzy linear optimization

2006
In this chapter we have proposed a new general approach to fuzzy single and multicriteria linear programming problems with fuzzy coefficients. A unifying concept of this approach is the concept of a fuzzy relation, particularly fuzzy extension of the inequality or equality relation and the concept of an aggregation operator.
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Fuzzy optimization: Milestones and perspectives

Fuzzy Sets and Systems, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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FUZZY OPTIMIZATION OF REAL FUNCTIONS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004
The 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 Portfolio Optimization Model with Fuzzy Numbers

2011
A new portfolio optimization model with triangular fuzzy numbers is proposed in this paper. The objective function is considered as maximizing fuzzy expected return of securities under the constraint that the risk will not be greater than a preset tolerable fuzzy number, where the expected return and risk of securities are described as triangular fuzzy
Chunquan Li, Jianhua Jin
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