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Fuzzy transfer point location problem: a possibilistic unconstrained nonlinear programming approach

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Abstract

Recently, the transfer point location problem with weighted demand points and uniformly distributed coordinates has been introduced. In the real world problems, such as disaster situations, different points of an area might be demand point locations with different possibility degrees. So, it is necessary to develop more applicable models for these kinds of problems. In this paper, a new transfer point location problem with weighted demand points and fuzzy coordinates is developed. The proposed model is formulated as a fuzzy unconstrained nonlinear programming in which decision variables are obtained as fuzzy numbers. Due to the complexity of the developed model, a new fuzzy logic controller is designed based on the derived fuzzy decision variables to infer the optimum or near-optimum values for decision variables. Finally, a numerical example is presented and its results are compared with the optimum solutions of the problem in order to illustrate the efficiency of the proposed model.

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Authors and Affiliations

  1. Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran, 16846, Iran

    Hamed Kalantari, Mehdi Ghazanfari & Kamran Shahanaghi

  2. Industrial Management Department, Imam Khomeini International University, Qazvin, Iran

    Amir Yousefli

Authors
  1. Hamed Kalantari
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  2. Amir Yousefli
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  3. Mehdi Ghazanfari
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  4. Kamran Shahanaghi
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Correspondence to Hamed Kalantari.

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Kalantari, H., Yousefli, A., Ghazanfari, M. et al. Fuzzy transfer point location problem: a possibilistic unconstrained nonlinear programming approach. Int J Adv Manuf Technol 70, 1043–1051 (2014). https://doi.org/10.1007/s00170-013-5338-6

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  • DOI: https://doi.org/10.1007/s00170-013-5338-6

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