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Fuzzy goal programming – A parametric approach

Information Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Spherical Fuzzy Goal Programming Problem

2020
Goal programming optimization techniques are an essential and exciting topic since the 1970s. The significant development can be realized by having enormous researches in this field, such as fuzzy goal optimization technique, intuitionistic fuzzy goal optimization technique, different goal programming techniques, etc.
Firoz Ahmad, Ahmad Yusuf Adhami
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Fuzzy goal programming approach for structural optimization

AIAA Journal, 1992
The nonlinear goal programming approach is used for solving multiobjective optimization problems. When the goals are vague and somewhat imprecise the model can be transformed in a fuzzy nonlinear goal program. It is shown how the model accomodates various aggregation forms of the multiple objectives, including simple or squared, weighted or unweighted ...
Rao, S. S.   +3 more
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Constructing Fuzzy Random Goal Constraints for Stochastic Fuzzy Goal Programming

2010
This paper attempts to estimate the coefficient of the goal constraints through a fuzzy random regression model which plays a pivotal role in solving a stochastic fuzzy additive goal programming.We propose the two phase-based solutions; in the first phase, the goal constraints are constructed by fuzzy random-based regression model and, in the second ...
Nureize Arbaiy, Junzo Watada
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Matrix Games with Fuzzy Goals and Fuzzy Linear Programming Duality

Fuzzy Optimization and Decision Making, 2004
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Bector, C. R.   +2 more
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Fuzzy Extended Lexicographic Goal Programming

2004
Goal Programming (GP) is perhaps the most widely used approach in the field of multicriteria decision making The major advantage of the GP model is its great flexibility which enables the decision maker to easily incorporate numerous variations of constraints and goals.
Mar Arenas   +3 more
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Priority structure in fuzzy goal programming

Fuzzy Sets and Systems, 1986
This paper introduces priority structure in Fuzzy Goal Programming (FGP). This approach utilizes the lexicographic order of Goal Programming (GP) and yields an efficient computational algorithm for solving FGP. Fuzzy priorities are also discussed. A numerical example is given to highlight the procedure. Concluding remarks are also made.
Tiwari, R. N., Dharmar, S., Rao, J. R.
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Fuzzy stochastic goal programming problems

European Journal of Operational Research, 2007
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Fuzzy goal programming with nested priorities

Fuzzy Sets and Systems, 1984
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Rubin, Paul A., Narasimhan, Ram
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Fuzzy goal programming using genetic algorithm

Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97), 2002
Goal programming is a powerful method which involves multiobjectives and is one of the excellent model in many real-world problems. The goal programming is to establish specific goals for each priority level, formulate objective functions for each objective, and then seek a solution that minimize the deviations of these objective functions from their ...
M. Gen, K. Ida, J. Kim
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