NDLI: Type-2 fuzzy sets for modelling nursing intuition

Content Provider	IEEE Xplore Digital Library
Author	John, R. Lake, S.
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci., De Montfort Univ., Leicester, UK (John, R.)
Abstract	Expert nurses concurrently assess the patient need for nursing care in several domains of concern to nursing. It is suggested that the process takes into account the overall context of patient need in relation to at least five domains. The degree of need within each domain is prioritised, reflecting the need for nursing intervention. This is an intuitive process in that the expert nurse uses inexact or imprecise information to make judgements based on nursing knowledge and practice wisdom. This paper presents the argument that type-2 fuzzy logic is able to model the perceptions present in the patient assessment. The problem of nursing assessment is discussed and the role of type-2 fuzzy sets in modelling nursing perceptions described. Some results are presented that indicate type-2 fuzzy logic has much to offer for modelling nursing intuition.
Sponsorship	Int. Fuzzy Syst. Assoc.
Starting Page	1920
Ending Page	1925
File Size	381013
Page Count	6
File Format	PDF
ISBN	0780370783
DOI	10.1109/NAFIPS.2001.944360
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Medical services Fuzzy logic Mathematical model Lakes Uncertainty Computational intelligence Computer science Application software Health and safety
Content Type	Text
Resource Type	Article

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