Sorooshian, Shahryar and Azizan, Noor Azlinna and Ale Ebrahim, Nader (2022): Weighted Aggregated Sum Product Assessment. Published in: Mathematical Modelling of Engineering Problems , Vol. 9, No. 4 (31 August 2022): pp. 873-878.
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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.
Item Type: | MPRA Paper |
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Original Title: | Weighted Aggregated Sum Product Assessment |
Language: | English |
Keywords: | multiple criteria decision-making (MCDM), weighted aggregated sum product assessment (WASPAS), literature analysis, bibliometric |
Subjects: | J - Labor and Demographic Economics > J5 - Labor-Management Relations, Trade Unions, and Collective Bargaining > J53 - Labor-Management Relations ; Industrial Jurisprudence L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance O - Economic Development, Innovation, Technological Change, and Growth > O2 - Development Planning and Policy Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics |
Item ID: | 114715 |
Depositing User: | Nader Ale Ebrahim |
Date Deposited: | 26 Sep 2022 06:37 |
Last Modified: | 26 Sep 2022 06:37 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/114715 |