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Drone selection using multi-criteria decision-making methods

机译:使用多标准决策方法选择无人机选择

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Multi-criteria decision making (MCDM) is the method of making accurate decision among many available criteria. It is a scientific method of making decisions. The decisions made by using MCDM are very accurate. MCDM steps have been divided into decision structuring, criteria specification, alternative performance measurement, alternative scoring, and criteria weight. There are many methods available for MCDM. In this study many direct and indirect methods of MCDM have been studied. Analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) have been found very powerful methods for MCDM. AHP and TOPSIS methods have been compared in this study after using their application formulas. COPRAS method application has also been discussed in this study. After comparing these methods, it was found that the TOPSIS method was ideal to be applied because of its vast applications. TOPSIS method has been found a better and easy method to apply for decision making. TOPSIS method steps including formulas have been presented. The TOPSIS method has been applied at the drones available in the market at desired cost. The formulas of TOPSIS method have been applied at the selected drones. The non-beneficial and beneficial weights have been assigned to the drones. The normalized matrices have been calculated for each drone. The Euclidean distance for ideal best and ideal worst values has been calculated for each drone and assigned performance score. The drones have been allotted ranks starting from highest to the lowest values. The highest rank drone has been selected.
机译:多标准决策(MCDM)是在许多可用标准中做出准确决策的方法。这是一个做出决定的科学方法。使用MCDM制作的决定非常准确。 MCDM步骤已分为决策结构,标准规范,替代性能测量,替代评分和标准重量。 MCDM提供许多方法。在这项研究中,已经研究了许多直接和间接的MCDM方法。对于MCDM的非常强大的方法,已经找到了对理想解决方案(Topsis)的相似性的分析层次处理(AHP)和优先顺序技术。在使用申请公式后,在该研究中比较了AHP和TopSis方法。本研究还讨论了COPRAS方法应用。在比较这些方法后,发现由于其庞大的应用,TopSIS方法是应用的理想选择。已经找到了TopSIS方法是一种申请决策的更好简便的方法。 TopSIS方法介绍了包括公式的步骤。 TopSIS方法已以所需成本应用于市场的无人机。针对选定的无人机应用了TopSIS方法的公式。已将非有益和有益的重量分配给无人机。为每个无人机计算了归一化矩阵。为每个无人机和分配的性能分数计算了理想最佳和理想最差值的欧几里德距离。从最高值开始分配无人机排序。选择了最高排名级别。

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