SENSITIVITY TEST FUZZY TOPSIS AND FUZZY TOPSIS ROC METHODS FOR THE SELECTION OF THE SASIRANGAN BANJAR FABRIC MOTIFS

Nafis Satul Khasanah, Andi Farmadi, Dodon Turianto Nugrahadi, Muliadi, Rudy Herteno
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Abstract

Decision making is one of problem that we often find in society, as well as choosing the fabric of the motif of Sasirangan Banjar that currently there are many kinds of it. So, to find out the ideal solution need the various of considerations that will make hesitation. And it will influence in time of accuracy of decision-making. Multi Atribut Decision Making (MADM) is a part of decision-making with various criteria that have a weight. The objective is to find out and ideal solution that can be optimal in implementation. The used Fuzzy TOPSIS and Fuzzy TOPSIS ROC methods an important to make an assesment with a simple system and calculation of priority weights to produces various motives. The result of two methods that have been test sensitivity are the best decision with the result 7,16% for weight Rank Order Centroid (ROC) and 0,6% for weight TOPSIS. So, Fuzzy TOPSIS ROC is better in values weight because it has a higher sensitivity than the Fuzzy TOPSIS.
采用灵敏度试验、模糊topsis法和模糊topsis roc法对萨奇兰甘班贾尔织物图案进行选择
决策是我们在社会中经常遇到的问题之一,还有选择萨斯朗甘·班加尔主题的织物,目前有很多种。因此,要找到理想的解决方案需要多方面的考虑,这会使人犹豫不决。并在时间上影响决策的准确性。多矩阵决策(MADM)是决策的一个组成部分,它具有各种具有权重的准则。目标是找出在执行中最优的理想解决方案。采用模糊TOPSIS和模糊TOPSIS两种ROC方法,可以用简单的系统和优先级权重的计算来进行评价,从而产生各种动机。两种方法的结果均为最佳决策,权重秩序质心(ROC)的结果为7.16%,权重TOPSIS的结果为0.6%。因此,模糊TOPSIS ROC比模糊TOPSIS具有更高的灵敏度,因此在值权方面表现更好。
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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