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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 25 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.