Title

On The Theory Of Fuzzy Signal Detection: Theoretical And Practical Considerations

Keywords

Fuzzy set theory; Human performance; Machine performance; Signal detection theory

Abstract

This work examines the foundations for and explores the implications of fuzzy signal detection (Fuzzy SDT), a theory that represents the marriage of two powerful extant theories, fuzzy set theory and signal detection theory. Fuzzy SDT permits the modelling and prediction of human, machine, and human- machine performance in a wide range of settings. Fuzzy SDT exploits the strengths of each theory to provide new and dynamic insights into performance. Fuzzy SDT explicitly recognizes that the binary decision states of classic signal detection represent two ends of a single continuum whose uncertainty decreases towards such end states and is maximized in its centre. It is shown how Fuzzy SDT has its origins in some more general concepts of human performance, and companion works are referenced which provide the mathematical foundation for Fuzzy SDT and its application in a specific domain. The present work examines the wider implications of Fuzzy SDT by illustrating the relevance of fuzzification in the larger cycle of design, configuration, and use of technology. It also examines the broader concerns of the temporal relationship between signal and response, showing time to be a crucial, if neglected, dimension of action, the exploration and exploitation of which can produce a deeper understanding of human behaviour in psychology, machine behaviour in engineering and human-machine behaviour in ergonomics. © 2000 Taylor & Francis Group, LLC. All rights reserved.

Publication Date

1-1-2000

Publication Title

Theoretical Issues in Ergonomics Science

Volume

1

Issue

3

Number of Pages

207-230

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/14639220110038640

Socpus ID

85008814530 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85008814530

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