Linear fractional programming for fuzzy random based possibilistic programming problem
Abstract—The uncertainty in real-world decision making originates from several sources, i.e., fuzziness, randomness, ambiguous. These uncertainties should be included while translating real-world problem into mathematical programming model though handling such uncertainties in the decision making mo...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3258/ http://eprints.uthm.edu.my/3258/1/4871a099.pdf |
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| Summary: | Abstract—The uncertainty in real-world decision making
originates from several sources, i.e., fuzziness, randomness,
ambiguous. These uncertainties should be included while
translating real-world problem into mathematical
programming model though handling such uncertainties in
the decision making model increases the complexities of the
problem and make the solution of the problem hard. In this
paper, a linear fractional programming is used to solve
multi-objective fuzzy random based possibilistic
programming problems to address the vague decision
maker’s preference (aspiration) and ambiguous data
(coefficient), in a fuzzy random environment. The developed
model plays a vital role in the construction of fuzzy multiobjective
linear programming model, which is exposed to
various types of uncertainties that should be treated
properly. An illustrative example explains the developed
model and highlights it’s effectiveness. |
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