
doi: 10.46632/daai/2/1/5
Advantages of the WASPAS method Weight Total Model (WSM) and Weight Product Model (WPM) Uses. Combining WSM and WPM improves the ranking accuracy of WASPAS alternatives. That At the moment, WASPAS calculates an optimal registration parameter, which will be given in detail later. The Weight the Product Assessment (WASPAS) system is a unique combination of Weight Gross Model (WSM) and Weight Product Model (WPM). Its mathematical simplicity and ability to deliver more accurate results compared to WSM and WPM methods Due to this, it is now widely accepted as an effective decision maker. In this paper, (a) a flexible production system, (b) a machine in a flexible production cell, (c) an automated guide vehicle and (d) an automation study. Structure and (c) an industrial robot. For all these five problems, the WASPAS method provides the most acceptable results. The optimal 1 value is determined for each issue considered and the effects of different values on the ranking of candidate alternatives in the WASPAS system are also analyzed. In this study, the compatibility of the Weighted the Product Evaluation (WASPAS) method is being explored as an effective MCDM tool, while eight production Decision making issues are resolved. Condition, Mac inability of objects and electro-discharge Micro-machining process parameters. The system has the ability to accurately sequence alternatives across the entire Selection issues are considered. In the ranking performance of the WASPAS system the effect of the parameter is also explored.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
