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基于可能性理论的模糊梯形数运输优化

Transportation optimization with fuzzy trapezoidal numbers based on possibility theory.

作者信息

He Dayi, Li Ran, Huang Qi, Lei Ping

机构信息

School of Humanities & Economic Management, Lab of Resources & Environment Management, China University of Geosciences (Beijing), Beijing, P. R. China.

出版信息

PLoS One. 2014 Aug 19;9(8):e105142. doi: 10.1371/journal.pone.0105142. eCollection 2014.

DOI:10.1371/journal.pone.0105142
PMID:25137239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4138112/
Abstract

In this paper, a parametric method is introduced to solve fuzzy transportation problem. Considering that parameters of transportation problem have uncertainties, this paper develops a generalized fuzzy transportation problem with fuzzy supply, demand and cost. For simplicity, these parameters are assumed to be fuzzy trapezoidal numbers. Based on possibility theory and consistent with decision-makers' subjectiveness and practical requirements, the fuzzy transportation problem is transformed to a crisp linear transportation problem by defuzzifying fuzzy constraints and objectives with application of fractile and modality approach. Finally, a numerical example is provided to exemplify the application of fuzzy transportation programming and to verify the validity of the proposed methods.

摘要

本文介绍了一种求解模糊运输问题的参数方法。考虑到运输问题的参数具有不确定性,本文提出了一种具有模糊供应、需求和成本的广义模糊运输问题。为简单起见,假定这些参数为模糊梯形数。基于可能性理论,并结合决策者的主观性和实际需求,通过应用分位数和模态方法对模糊约束和目标进行去模糊化处理,将模糊运输问题转化为一个清晰的线性运输问题。最后,给出了一个数值例子来说明模糊运输规划的应用,并验证所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/a40cca1de04b/pone.0105142.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/a1f2da86a3ad/pone.0105142.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/3ed8eaa3274b/pone.0105142.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/4ef2dc418b0a/pone.0105142.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/0b25cb943caf/pone.0105142.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/ff1fe8ec3ad7/pone.0105142.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/aba7c9e4b465/pone.0105142.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/a40cca1de04b/pone.0105142.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/a1f2da86a3ad/pone.0105142.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/6b7020e58338/pone.0105142.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/92feb907f3f1/pone.0105142.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/3ed8eaa3274b/pone.0105142.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/4ef2dc418b0a/pone.0105142.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/0b25cb943caf/pone.0105142.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a572/4138112/a40cca1de04b/pone.0105142.g009.jpg

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