Using linguistic fuzzy modeling for MMPI-2 data interpretation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F11%3A10223959" target="_blank" >RIV/61989592:15310/11:10223959 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using linguistic fuzzy modeling for MMPI-2 data interpretation
Original language description
Psychological diagnostics involves acquisition of a large amount of information, data classification, interpretation and derivation of conclusions. It is desirable to develop systems able to speed up the process and reduce the risk of errors. This paperconsiders possibilities of linguistic fuzzy modeling for this purpose; perspectives of knowledge transfer are discussed. We describe the process of conversion-symptoms identification based on data provided by MMPI-2 (Minnesota Multiphasic Personality Inventory). Linguistic fuzzy rules are introduced to represent the expert knowledge of the process in three stages - protocol validity, data appropriateness, and "conversion V" obviousness. Finally, a fuzzy-rule-base aggregation of the three evaluations ofa MMPI-2 profile is introduced. Sugeno's fuzzy inference algorithm is used. A fuzzy classification of conversion-symptom presence into three categories (present, possibly present and not present) is performed. The model is implemented in
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 29th International Conference on Mathematical Methods in Economics 2011 - part II
ISBN
978-80-7431-059-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
653-658
Publisher name
Vysoká škola ekonomická
Place of publication
Praha
Event location
Janska Dolina (Slovakia)
Event date
Sep 6, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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