Abstract
In the paper, we give a new method for solution of multi-objective linear programming problem in intuitionistic fuzzy environment. The method uses computation of the upper bound of a non-membership function in such way that the upper bound of the non-membership function is always less than the upper bound of the membership function of intuitionistic fuzzy number. Further, we also construct membership and non-membership function to maximize membership function and minimize non-membership function so that we can get a more efficient solution of a probabilistic problem by intuitionistic fuzzy approach. The developed method has been illustrated on a problem, and the result has been compared with existing solutions to show its superiority.
Keywords
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Authors are thankful to University Grants Commission (UGC), Government of India, for financial support to carry out this research work.
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Bharati, S. ., Nishad, A. ., Singh, S.R. (2014). Solution of Multi-Objective Linear Programming Problems in Intuitionistic Fuzzy Environment. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_18
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DOI: https://doi.org/10.1007/978-81-322-1602-5_18
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