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Weighted Aggregated Sum Product Assessment

Authors: Sorooshian, Shahryar; Azizan, Noor Azlinna; Ale Ebrahim, Nader;

Weighted Aggregated Sum Product Assessment

Abstract

Multiple Criteria decision-making (MCDM) approaches are required for complex issue resolution. However, it is debatable whether MCDMs applicability will be able to stay within the analytical possibilities for dealing with divorce issues. As a result, one of the newly introduced MCDMs Weighted aggregated sum product assessment (WASPAS), is chosen for evaluation. Therefore, this study examined 388 documents from archive of the Scopus database. To evaluate the diversity of the technique's application, the data analysis looked at a few bibliometrics measures. So, the publishing hosts and their influence patterns are displayed, the vast majority of the documents were in the fields of engineering and computer science. According to the findings, the WASPAS can deal with variety of problem-solving scenarios. Hence, this work is summed up with the aim of lowering uncertainty among decision-makers and scholars.

Countries
Germany, Malaysia
Keywords

L1 - Market Structure, J53 - Labor-Management Relations, Industrial Jurisprudence, Multiple Criteria Decision-Making (MCDM); Weighted Aggregated Sum Product Assessment (WASPAS); literature analysis; bibliometrics, O2 - Development Planning and Policy, multiple criteria decision-making (MCDM), weighted aggregated sum product assessment (WASPAS), literature analysis, bibliometrics, TS Manufactures, Q5 - Environmental Economics, Firm Strategy, T Technology (General), and Market Performance, L Education (General)

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
14
Top 10%
Average
Top 10%
1
6
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