Implementation of Simple Additive Weighting Algorithm in Particular Instance

Abstract

In the problem of determining the proper level of sequence in a sorting problem, the Simple Additive Weighting (SAW) method is an easy-to-use technique. It can analyze cases based on the criteria used. The use of criteria values in this approach has an unlimited amount. The more criteria used, the higher the accuracy of the results obtained. There are two types of criteria, cost, and benefits. Cost is used if the higher the criterion value, the lower the chance to get the top score while the benefit is used if the higher the criterion value, the greater the chance to get the top position. This study explains how to apply SAW algorithm in solving sequence problems in various cases encountered. Using this method will solve decisions that can not be completed manually. It helps the admin in choosing the best decision in any particular instance.

Measuring the resilience of exploitation systems from agricultural water based on good governance principles (case study: irrigation networks in Khuzestan Province)

“…The results of this research are fitted to the Liu, Xu, Fu, Li, and Faiz (2019) results in terms of capability of multicriteria decision‐making (MCDM) models in omitting redundant indicators and introducing effective indicators in each decision‐making problem. Other obtained results tend to be similar to results of Karlitasari et al (2017), Siahaan et al (2017), Srdjevich and Medeiros (2008) and Turskis (2008), which indicated that SAW model includes high level of accuracy and low level of complexity as well as it is a reliable model.…”

“…The only calculation that is done by this method is to produce the biggest value, which is later used as the best alternative. This method is more efficient than other methods because the time required for computation is shorter (Siahaan, Elviwani, Surbakti, & Lubis, 2017). Also, the SAW method does not depend on the data pattern (Karlitasari, Suhartini, & Benny, 2017).…”

Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menerapkan Kombinasi Metode Simple Additive Weighting (SAW) dengan Rank Order Centroid (ROC)

“…Metode Simple Additive Weighting merupakan metode yang dapat melakukan perangkingan dengan penjumlahan terbobot pada setiap nilai alternatif [6], [18], [19].…”

Penerapan Kombinasi Metode Simple Additive Weighting (SAW) dan Rank Order Centroid (ROC) dalam Keputusan Pemberian Kredit

“…Metode Simple Additive Weighting merupakan metode yang dapat melakukan perangkingan dengan penjumlahan terbobot pada setiap nilai alternatif [16]- [18]…”