Fuzzy multi-objective chance-constrained programming model for hazardous materials transportation

Hazardous materials transportation is an important and hot issue of public safety. Based on the shortest path model, this paper presents a fuzzy multi-objective programming model that minimizes the transportation risk to life, travel time and fuel consumption. First, we present the risk model, trave...

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Veröffentlicht in:	International journal of general systems Jg. 45; H. 3; S. 286 - 310
Hauptverfasser:	Du, Jiaoman, Yu, Lean, Li, Xiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 02.04.2016 Taylor & Francis LLC
Schlagworte:	Algorithms Federal regulation Fuel consumption Fuzzy fuzzy chance-constrained programming Fuzzy logic Goal programming Hazardous materials Hazardous materials transportation hybrid intelligent algorithm Mathematical models multi-objective programming Programming Risk Transportation
ISSN:	0308-1079, 1563-5104
Online-Zugang:	Volltext
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