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SA-Optimization Based Decision Support Model for Determining Fast-Food Restaurant Location

机译:基于SA优化的决策支持模型,用于确定快餐店位置

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An intense study is required to place a fast-food restaurant strategically. Several aspects should be taken into account to locate the restaurant in the right location to give owners high profit or gain; e.g. population income, city type, trading activity behavior, location distance to hustle in the city, etc. In addition, the simulated annealing (SA) was used as a main method for optimizing process. The other method fuzzylogic was operated as well to define the selected parameters' priority based on experts' justification. The decision support model (DSM) based on SA-optimization and fuzzy-concept was constructed then. It practically proposed the best location alternative coming from a lot of alternatives. Here, three locations in Tangerang and Jakarta were undertaken as a research object.
机译:需要强烈的研究策略性地放置快餐店。应考虑有几个方面来定位在合适的位置的餐厅,以给所有者提供高利润或增益;例如人口收入,城市类型,交易活动行为,城市中喧嚣的位置距离等。此外,模拟退火(SA)用作优化过程的主要方法。其他方法FUIZEXOGIC也是根据专家的理由来定义所选参数的优先级。然后构建了基于SA-Optimization和模糊概念的决策支持模型(DSM)。它实际上提出了来自很多替代品的最佳地理替代品。在这里,坦特兰和雅加达的三个地点作为研究对象进行。

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