Transportation optimization with fuzzy trapezoidal numbers based on possibility theory

大一 何;Ran Li;Qi Huang;平 雷

China Association for Science and Technology;China University of Geosciences (Beijing)

发表时间:2014-8-19

期 刊:PLoS ONE

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=84929940748&partnerID=8YFLogxK

摘要

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.

相关科学

农业与生物科学
生物化学、遗传学和分子生物学

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007 1.379 0.543
2008 2.506 1.009
2009 2.614 1.059
2010 2.705 1.193
2011 4.5 2.425 1.253
2012 4.1 1.982 1.17
2013 4.4 1.772 1.162
2014 5.1 1.559 1.151
2015 5.6 1.427 1.15
2016 5.9 1.236 1.124
2017 5.7 1.164 1.149
2018 5.4 1.1 1.167
2019 5.2 1.023 1.205
2020 5.2
2021

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