विधियों की तुलना करें

	प्रत्यक्षणात्मक और वरीयता मानचित्रण	मल्टीडायमेंशनल स्केलिंग (MDS)
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1979	1952–1964
प्रवर्तक	John Hauser & Frank Koppelman	Warren S. Torgerson (metric MDS, 1952); Joseph B. Kruskal (non-metric MDS, 1964)
प्रकार	Multivariate spatial representation	Dimensionality reduction / visualization
मौलिक स्रोत	Hauser, J. R., & Koppelman, F. S. (1979). Alternative perceptual mapping techniques: Relative accuracy and usefulness. Journal of Marketing Research, 16(4), 495–506.	Kruskal, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1), 1–27.
उपनाम	Perceptual Mapping, Preference Mapping, Attribute-Based Mapping, Algısal Haritalama	MDS, metric MDS, non-metric MDS, proximity scaling
संबंधित	3	5
सारांश	Perceptual and preference mapping is a family of multivariate techniques that simultaneously positions competing objects—brands, products, or stimuli—and respondent preferences within a common low-dimensional space. Introduced systematically by Hauser and Koppelman (1979), the approach lets researchers visualize how consumers perceive attribute-level similarities among objects and which attributes drive individual or segment-level choice. It is widely used in market research, sensory science, and strategic positioning analysis.	Multidimensional scaling maps objects described only by pairwise similarities or dissimilarities into a low-dimensional geometric space so that distances in that space reflect the original proximity structure as faithfully as possible. It is widely used to visualize the hidden structure of psychological, social, and behavioral data.