Document Detail


A measurement-theoretic analysis of the fuzzy logic model of perception.
MedLine Citation:
PMID:  7740095     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The fuzzy logic model of perception (FLMP) is analyzed from a measurement-theoretic perspective. FLMP has an impressive history of fitting factorial data, suggesting that its probabilistic form is valid. The authors raise questions about the underlying processing assumptions of FLMP. Although FLMP parameters are interpreted as fuzzy logic truth values, the authors demonstrate that for several factorial designs widely used in choice experiments, most desirable fuzzy truth value properties fail to hold under permissible rescalings, suggesting that the fuzzy logic interpretation may be unwarranted. The authors show that FLMP's choice rule is equivalent to a version of G. Rasch's (1960) item response theory model, and the nature of FLMP measurement scales is transparent when stated in this form. Statistical inference theory exists for the Rasch model and its equivalent forms. In fact, FLMP can be reparameterized as a simple 2-category logit model, thereby facilitating interpretation of its measurement scales and allowing access to commercially available software for performing statistical inference.
Authors:
C S Crowther; W H Batchelder; X Hu
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Psychological review     Volume:  102     ISSN:  0033-295X     ISO Abbreviation:  Psychol Rev     Publication Date:  1995 Apr 
Date Detail:
Created Date:  1995-06-07     Completed Date:  1995-06-07     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0376476     Medline TA:  Psychol Rev     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  396-408     Citation Subset:  IM    
Affiliation:
Department of Linguistics, University of California, Los Angeles, USA.
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MeSH Terms
Descriptor/Qualifier:
Attention
Discrimination Learning*
Fuzzy Logic*
Humans
Logistic Models
Pattern Recognition, Visual*
Probability
Retention (Psychology)

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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