Fuzzy Topsis untuk Meningkatkan Akurasi dan Objektivitas Bobot pada Seleksi Vendor PT. Telkomsel TTC BSD

Abi Tulkhah, Aries Saifudin
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引用次数: 1

Abstract

Selection of vendors in PT. Telkomsel TTC (Telkomsel Telecommunication Center) BSD has some shortcomings that their maintenance costs in excess of the targeted system, and the processing time exceeds the specified time limit. The TOPSIS method can be applied to solve the problem by selecting the alternatives which have the shortest euclidian distance from the positive ideal solution. Ranking and weighting of criteria useful for determining solutions in the TOPSIS method. However, in many circumstances, sometimes the data obtained is inadequate and causes it cannot predict preference values correctly. Fuzzy logic can be used to help determine preference values in a structured manner. Fuzzy theory can be used to measure the concept of uncertainty more objectively than humans. In this study, the application of fuzzy TOPSIS method used to select the best vendors in PT. Telkomsel TTC BSD. The results of the research are the TOPSIS method is better than Fuzzy TOPSIS method.
模糊表皮以增加PT. Telkomsel trc BSD供应商的准确性和客观性
Telkomsel TTC (Telkomsel Telecommunication Center) BSD的缺点是他们的维护成本超过了目标系统,处理时间超过了规定的时间限制。TOPSIS方法可以通过选择与正理想解欧几里德距离最短的备选方案来解决问题。在TOPSIS方法中,对确定解决方案有用的标准的排序和加权。然而,在许多情况下,有时获得的数据是不充分的,导致它不能正确预测偏好值。模糊逻辑可以用来帮助以结构化的方式确定偏好值。模糊理论可以比人类更客观地测量不确定性的概念。在本研究中,应用模糊TOPSIS法对PT. Telkomsel TTC BSD中的最佳供应商进行了选择。研究结果表明,TOPSIS方法优于模糊TOPSIS方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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