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Likert-scales and time series - – or about the term of human-oriented science from the point of view of artificial intelligence and value surveys

Leading article: 2017. November (MIAU No. 231.)
(Previous article: MIAU No. 230.)

Keywords: correlation-based conversion, sameness-oriented evaluation, logical-fuzzy-numerical transformation, objectivity, subjectivity, value survey

Abstract: Statements about human preferences concerning values, e.g. data based on the Likert scale deliver information. Time series of behavior patterns can also be converted to inputs to pairwise comparison in order to explore the potential of irrationality of humans. The conversion of data into pairwise comparison described on Likert scales is made possible through correlation-oriented rules. Pure logic is inflexible and produce mostly high index values for inconsistence. Fuzzy-like approximations (numeric models) ensure a higher level on flexibility. However, it is always important to visualize whether a data set of scores or time series are capable of delivering consistent constellations between objects. Questionnaires produce not hard enough data in general – and the interpretations of these quasi-data need every possible methodical support.. More (DOC) *** More (PDF)

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