基于Topsis算法的公寓搜索决策支持系统

Ainul Yaqin, Akhmad Dahlan, Tonny Hidayat, Reza Mardiansyah Putra
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引用次数: 0

摘要

寄宿公寓是学生或高年级学生最需要的临时住所。然而,要找到合适的寄宿公寓并不容易,因为很难获得寄宿公寓的信息,而且许多寄宿公寓的标准必须考虑,如租金,房间面积和寄宿公寓设施等。采用Topsis方法的多准则决策支持系统可以方便学生寻找寄宿公寓。用户可以输入要搜索的公寓标准,如租金、房间面积、公寓设施等,然后使用Topsis方法对每个公寓进行数学计算。产生与用户正在寻找的匹配的板推荐。本系统是基于Java为android平台进行编程的。测试使用混淆矩阵法来衡量系统产生的成本建议的准确性,结果准确率为83%,推荐错误率为17%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decision Support System for Boarding house Search Using Topsis Algorithm
Boarding house are temporary homes that are most in demand by students or upper level students. However, to get the appropriate boarding house is not easy because of the difficulty of obtaining boarding house information and also many boarding house criteria that must be considered such as rental rates, room area and boarding house facilities etc. Multi criteria decision support system using the Topsis method can facilitate students in finding boarding house. Users can input the boarding house criteria to be searched such as rental rates, room area and boarding house facilities, then after that a mathematical calculation will be performed on each boarding house using the Topsis method. Resulting in board recommendations that match what the user is looking for. The system is made using Java for Android-based programming. The test is performed using the confusion matrix method to measure the accuracy of the costing recommendations produced by the system, resulting in 83% accuracy and 17% of recommendation errors.
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