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Hospital Location Selection with Utility Range Based Interactive Group Decision Method

机译:基于效用范围的交互式群体决策方法在医院选址中的应用

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Selecting a location for a potential hospital often decides the success or the failure of such a facility. It is thus important to assess the locationsfrom multiple dimensions before selecting the site. This paper focuses on the multi factor evaluation of hospital sites using Utility RangeBased Interactive Group Decision Method. The process of site selection is inherently complicated. A careless site imposes exorbitant costs oncity budget and damages the environment inevitably. Nowadays, multi-attributes decision making approaches are suggested to use to improveprecision of decision making and reduce surplus side effects. Utility range based interactive group decision method is proposed for solvingthis complex problem and selection of the location which has the highest utility. Main theme underlying the method is every group memberwants to compare their partial utility information with other group members. This procedure reflects the incomplete information as linear rangebecause it can count easily from partial utility information. Range type makes the incomplete information effective and efficient to demonstratethe group members. In addition to this, range type utility information makes easy to compare every group members’ utility information withgroup’s information and collecting the each group member’s utility information within group’s utility information. To obtain group utility,preference aggregation method is used. Interactive procedure helps to make consensus of the group. Utility information calculated by usingoptimism coefficient which is determined by the group. A numerical example for hospital location selection is given to illustrate the proposedmethod finally.
机译:选择潜在医院的位置通常会决定这种设施的成败。因此,在选择站点之前,从多个维度评估位置非常重要。本文着重使用基于效用范围的交互式群体决策方法对医院现场进行多因素评估。选址过程本质上是复杂的。粗心的站点会给城市预算带来高昂的成本,并不可避免地破坏环境。如今,建议使用多属性决策方法来提高决策的准确性并减少多余的副作用。提出了一种基于效用范围的交互式群体决策方法来解决这一复杂问题,并选择具有最高效用的位置。该方法的主要主题是每个小组成员都希望将自己的部分效用信息与其他小组成员进行比较。此过程将不完整的信息反映为线性范围,因为它可以从部分效用信息中轻松计数。范围类型使不完整的信息有效且有效地演示了小组成员。除此之外,范围类型的实用信息还可以轻松地将每个组成员的实用信息与组信息进行比较,并在组实用信息中收集每个组成员的实用信息。要获得组实用程序,请使用首选项聚合方法。互动程序有助于使小组达成共识。通过使用由组确定的乐观系数计算的效用信息。最后给出了医院选址的数值例子,以说明所提出的方法。

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