scholarly journals A new nonmetric multidimensional scaling method for sorting data

1993 ◽  
Vol 35 (3) ◽  
pp. 129-139 ◽  
Author(s):  
HIROSHI HOJO
2001 ◽  
Vol 60 (3) ◽  
pp. 192-201 ◽  
Author(s):  
Wolfgang Marx ◽  
Linda Stähli

This article attempts to explore, via nonmetric multidimensional scaling (NMDS), the subjective structure of Swiss political parties. Free associations and hierarchical sortings of students are analyzed. The association data is described best by a one-dimensional MINISSA-solution showing the dimension left-right. The sorting data leads to a two-dimensional solution showing the dimension left-right and radicality. Differences and similarities to previous studies in Germany ( Marx & Läge, 1995 ) are discussed.


Geology ◽  
2021 ◽  
Author(s):  
Xu Dai ◽  
Dieter Korn ◽  
Haijun Song

Ammonoids suffered a diversity bottleneck during the Permian-Triassic mass extinction (PTME) and experienced a rapid diversification in the Early Triassic. However, the kinds of ammonoids that were more likely to survive the PTME and that fueled subsequent diversification are still poorly known. We compiled a comprehensive morphological data set and used the nonmetric multidimensional scaling method to reveal the impact of the PTME on the morphological selectivity of ammonoids. Our results show that postextinction taxa occupied a quite different morphospace when compared with the pre-extinction assemblages. The survivors were mainly smooth and weakly ornamented forms, while the late Permian species were dominated by coarsely ornamented forms. Contrary to previously recognized nonselective patterns, these results suggest a morphological selectivity of the Permian-Triassic crisis. Newcomers in the Griesbachian were mainly compressed and smooth forms. This morphological shift from the coarsely ornamented ammonoids dominating the Changhsingian to the smooth ammonoids dominating the Griesbachian possibly suggests an ecological turnover of ammonoids during the PTME.


Author(s):  
Ai Nurhayati ◽  
Frencius Frencius

Antivirus software industry is growing rapidly in the world in 2018. The domestic antivirus software industry must be able to compete on a global scale. To face free trade, Indonesia's antivirus software industry must be able to know its position in the minds of consumers, especially domestic consumers. In this research, Smadav will represent the antivirus software industry from Indonesia.In this research want to know how the position of smadav compared with its current competitors, namely Avast, Avira, AVG, Kaspersky, McAfee and Norton. This research is only done to map antivirus software based on similarity according to respondent's perception.This research uses Multidimensional scaling (MDS) method through SPSS software program version 23. The results showed that there are three groups of different antivirus software based on similarity level according to the respondent's perception.On the two-dimensional and three-dimensional maps Norton antivirus software, Avast and Avira have similar resemblance according to the respondent's perception, because the location is closest and is in the same quadrant. Smadav differs according to perceptions of respondents. AVG, McAfee and Kaspersky have similarities according to respondents' perceptions.


2019 ◽  
Vol 3 (2) ◽  
pp. 137-143
Author(s):  
Ayad Mohammed Ramadan

In this paper, we presented for the first time a multidimensional scaling approach to find the scaling as well as the ranking of triangular fuzzy numbers. Each fuzzy number was represented by a row in a matrix, and then found the configuration points (scale points) which represent the fuzzy numbers in . Since these points are not uniquely determined, then we presented different techniques to reconfigure the points to compare them with other methods. The results showed the ability of ranking fuzzy numbers


1987 ◽  
Vol 14 (21) ◽  
pp. 81-96 ◽  
Author(s):  
Akinori Okada ◽  
Tadashi Imaizumi

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