scholarly journals Multidimensional Scaling Method for Asymmetric Similarity Data

1990 ◽  
Vol 26 (1) ◽  
pp. 87-92
Author(s):  
Hisao MIYANO
Keyword(s):  
Multidimensional Scaling ◽  
Scaling Method ◽  
Similarity Data ◽  
Asymmetric Similarity

Dimension of Quality for the Vowel [æ]

1963 ◽  
Vol 6 (3) ◽  
pp. 239-248 ◽  
Author(s):  
Robert W. Peters
Keyword(s):  
Multidimensional Scaling ◽  
Multidimensional Analysis ◽  
Scaling Method ◽  
Auditory Space ◽  
Acoustic Data ◽  
Similarity Data ◽  
Analysis Of Similarity ◽  
Similarity Judgments ◽  
Degree Of Similarity

Multidimensional analysis of similarity data was applied to the domain of a spoken vowel. Thirty-two male speakers provided samples of the vowel [æ]. Judgments of degree of similarity between each pair of vowels were obtained from 100 observers. The similarity judgments provided estimates of psychological distances between the vowels. The distances were used to construct an auditory space, Euclidean in nature, for the vowel samples. Dimensionality of the space was appropriate to account for the distances between vowels. Acoustic data were employed to identify the dimensions. The dimensions related well to frequency and amplitude properties of first, second and third formants, and good predictions as to locations of the vowels in space could be made from the acoustic data. The multidimensional scaling method shows promise as a method for structuring auditory space and for understanding processes of vowel perceptions.

scholarly journals Mapping Perception of Consumer Antivirus Software with Multidimensional Scaling Method

2019 ◽  
Vol 4 (3) ◽  
pp. 91-95
Author(s):  
Ai Nurhayati ◽  
Frencius Frencius
Keyword(s):  
Multidimensional Scaling ◽  
Software Industry ◽  
Three Dimensional ◽  
Global Scale ◽  
Scaling Method ◽  
Know How ◽  
Antivirus Software ◽  
The World ◽  
Spss Software ◽  
Program Version

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.

Ranking of Fuzzy Numbers by using Scaling Method

2019 ◽  
Vol 3 (2) ◽  
pp. 137-143
Author(s):  
Ayad Mohammed Ramadan
Keyword(s):  
Multidimensional Scaling ◽  
Fuzzy Number ◽  
Fuzzy Numbers ◽  
Triangular Fuzzy Numbers ◽  
Scaling Method ◽  
Ranking Of Fuzzy Numbers ◽  
First Time

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

Impressions in the Dark: A Multidimensional Scaling Approach to Multi-Modal Experience

1976 ◽  
Vol 42 (3_suppl) ◽  
pp. 1031-1036
Author(s):  
Noreen Webb
Keyword(s):  
Multidimensional Scaling ◽  
Two Dimensions ◽  
Nonmetric Multidimensional Scaling ◽  
Auditory Stimuli ◽  
Similarity Data ◽  
Musical Chords

12 students rated the experienced similarities among 16 compound visual-auditory stimuli. Each of 4 colors was combined with each of 4 musical chords to form 16 color-chord impressions. Nonmetric multidimensional scaling of the 16 × 16 matrix of similarity data yielded an orderly and interpretable solution in two dimensions. The results suggest that the color-chord combinations produced psychologically integrated impressions which varied along orthogonal dimensions of darkness (versus lightness) and spread (versus compactness) of chords.

Empirical Evaluations of Scaling Method and Scale Transformation in Multidimensional Scaling Analysis

1964 ◽  
Vol 15 (1) ◽  
pp. 53-54 ◽  
Author(s):  
Douglas G. Schultz ◽  
Arthur I. Siegel
Keyword(s):  
Multidimensional Scaling ◽  
Scale Transformation ◽  
Scaling Analysis ◽  
Multidimensional Scaling Analysis ◽  
Scaling Method ◽  
Preliminary Step ◽  
Job Tasks ◽  
Exponential Transformation ◽  
Emergent Structure

Successive intervals scaling and equal intervals scaling as a preliminary step to multidimensional scaling analysis were compared. The effects of an exponential transformation on the resultant structure were also investigated. For judgments involving similarity of electronics job tasks, neither scaling method nor exponential transformation seemed to affect the emergent structure to any great extent.

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