Results 251 to 260 of about 97,912 (279)

On unfeasible fuzzy goal programming problems

2007 IEEE International Fuzzy Systems Conference, 2007
In a Fuzzy goal programming problem (FGP), it is possible that the tolerance thresholds fixed by the decision maker (DM) for the different fuzzy goals were to be incompatible, therefore obtaining an unfeasible problem. In this case the DM doesn't know the amount in which the tolerance thresholds have been surpassed and, so, neither which changes should
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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., Sundararaju, K., Prakash, B. G., Balakrishna, C.   +3 more
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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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Solutions based on fuzzy goals in fuzzy linear programming games

Fuzzy Sets and Systems, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ichiro Nishizaki, Masatoshi Sakawa
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Approximation of Goal Constraint Coefficients in Fuzzy Goal Programming

2010 Second International Conference on Computer Engineering and Applications, 2010
It is sometimes difficult in real situations to estimate the coefficients of decision variables in multi-objective model. Even though mathematical analysis may contribute to determine these coefficients, historical data used may contain fuzzy and random properties and should be treated properly.
Nureize Arbaiy, Junzo Watada
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A fuzzy goal programming technique for quadratic multiobjective multilevel programming

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013
The purpose of this paper is to develop a fuzzy goal programming methodology for solving quadratic multiobjective multilevel programming problems in a hierarchical decision making environment. In the proposed procedure, the tolerance membership functions in fuzzy set theory are defined first for measuring the degree of satisfactions of the objectives ...
Animesh Biswas, Koushik Bose
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A goal programming procedure for solving problems with multiple fuzzy goals using dynamic programming

European Journal of Operational Research, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bijay Baran Pal, Bhola Nath Moitra
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Fuzzy goal programming for solving fuzzy regression equation

FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), 1999
The range of a fuzzy regression interval is decided by the collected data and a confidence level, h. Since this confidence level is an overall attitude toward the collected data, if the possibility of occurrence of each datum can be revealed, which can be done by data analysis, then regression analysis should be more precisely done.
R.-C. Tsaur, H.-F. Wang
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The Relationship Between Intuitionistic Fuzzy Programming and Goal Programming

2017
One of the generalizations of fuzzy programming (FP) is intuitionistic fuzzy programming (IFP). IFP and goal programming (GP) are two important techniques for determining the solution (optimal) of multi-objective optimization problem by transforming it to a single objective one.
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Fuzzy goal programming with nested priorities

Fuzzy Sets and Systems, 1984
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rubin, Paul A., Narasimhan, Ram
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