Abstract
In this paper, we introduce posynomial geometric programming problems with intuitionistic fuzzy numbers, it is formulated in intuitionistic fuzzy environment introducing intuitionistic fuzzinees in objective and constraint coefficients. This paper presents an approach based on \((\alpha ,\beta )\)-cuts of intuitionistic fuzzy numbers to solve posynomial geometric programming problems with the data as triangular and trapezoidal intuitionistic fuzzy numbers.
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Acknowledgments
Thanks to the support by National Natural Science Foundation of China (No. 70771030 and No. 70271047) and Project Science Foundation of Guangzhou University.
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Kheiri, Z., Cao, By. (2016). Posynomial Geometric Programming with Intuitionistic Fuzzy Coefficients. In: Cao, BY., Liu, ZL., Zhong, YB., Mi, HH. (eds) Fuzzy Systems & Operations Research and Management. Advances in Intelligent Systems and Computing, vol 367. Springer, Cham. https://doi.org/10.1007/978-3-319-19105-8_2
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DOI: https://doi.org/10.1007/978-3-319-19105-8_2
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