Using linguistic fuzzy modeling for MMPI-2 data interpretation

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using linguistic fuzzy modeling for MMPI-2 data interpretation

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Using linguistic fuzzy modeling for MMPI-2 data interpretation

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

653-658

Název nakladatele

Vysoká škola ekonomická

Místo vydání

Praha

Místo konání akce

Janska Dolina (Slovakia)

Datum konání akce

6. 9. 2011

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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