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TRANSPORT ROUTE PLANNING MODELS BASED ON FUZZY APPROACH | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 11، دوره 9، شماره 1، اردیبهشت 2012، صفحه 141-158 اصل مقاله (265.73 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2012.231 | ||
نویسندگان | ||
Julio Brito ![]() ![]() | ||
1I. U. D. R., University of La Laguna, E-38271 Tenerife, Spain | ||
2Department C. C. I. A., University of Granada, E-18071 Granada, Spain | ||
چکیده | ||
Transport route planning is one of the most important and frequent activities in supply chain management. The design of information systems for route planning in real contexts faces two relevant challenges: the complexity of the planning and the lack of complete and precise information. The purpose of this paper is to nd methods for the development of transport route planning in uncertainty decision making contexts. The paper uses an approximation that integrates a speci c fuzzy-based methodology from Soft Computing. We present several fuzzy optimization models that address the imprecision and/or exibility of some of its components. These models allow transport route planning problems to be solve with the help of metaheuristics in a concise way. A simple numerical example is shown to illustrate this approach. | ||
کلیدواژهها | ||
Fuzzy optimization؛ Route planning؛ Soft computing | ||
مراجع | ||
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