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Fuzzy Unconstrained Geometric Programming Problem

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Fuzzy Geometric Programming Techniques and Applications

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Abstract

Since 1960s, geometric programming (GP) is utilized in different fields (like operations management, engineering science, and so on). Geometric programming (GP) is one of the powerful techniques to solve a specific type of nonlinear programming problem (NLP). The theory of geometric programming (GP) is first introduced in 1961 by Duffin and Zener. The first publication on geometric programming (GP) was published by Duffin and Zener in 1967. There are numerous references to applications and strategies for GP in the survey paper by Ecker. In the standard geometric model, all coefficients are considered as fixed. In real circumstances, it will have some little fluctuations.

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Islam, S., Mandal, W.A. (2019). Fuzzy Unconstrained Geometric Programming Problem. In: Fuzzy Geometric Programming Techniques and Applications. Forum for Interdisciplinary Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-13-5823-4_5

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