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Journal ArticleDOI

Fuzzy logic in medical expert systems

TLDR
There is no single generalization from binary logic to fuzzy logic that is clearly best or correct, and many self-consistent systems have been developed which reduce to 2-valued logic if all parameters are crisp.
Abstract
30 Years after its introduction, fuzzy logic remains an area of active research. As can be seen from the examples given here, in most instances there is no single generalization from binary logic to fuzzy logic that is clearly best or correct. Many self-consistent systems have been developed which reduce to 2-valued logic if all parameters are crisp. The choice of a model depends at this point on how well each functions in practice. For medical expert systems, the theoretical framework of fuzzy logic provides a rich environment from which to choose. The adequacy of each approach is born out by the success of the model in practice. >

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Citations
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Book

Introduction to Fuzzy Logic using MATLAB

TL;DR: This paper presents a model for a Fuzzy Rule-Based System that automates the very labor-intensive and therefore time-heavy process of decision-making in the context of classical sets.
Journal ArticleDOI

Survey of utilisation of fuzzy technology in medicine and healthcare

TL;DR: This paper surveys the utilisation of fuzzy logic in medical sciences, with an analysis of its possible future penetration.
Book

Neural Networks and Artificial Intelligence for Biomedical Engineering

TL;DR: Using examples drawn from biomedicine and biomedical engineering, this reference text provides comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems.
Journal ArticleDOI

A fuzzy system for detecting distorted plethysmogram pulses in neonates and paediatric patients

TL;DR: A knowledge-based system using fuzzy logic for classifying plethysmogram pulses into two categories: valid and artefact is developed and can be implemented in its present from for real-time SaO2 monitoring in intensive care for detecting valid and distorted plethymogram pulses.

A Fuzzy Expert System for the Management of Malaria

TL;DR: The fuzzy expert system was designed based on clinical observations, medical diagnosis and the expert's knowledge, and the results that were in the range of predefined limit by the experts were computed.
References
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Journal ArticleDOI

Fuzzy sets as a basis for a theory of possibility

TL;DR: The theory of possibility described in this paper is related to the theory of fuzzy sets by defining the concept of a possibility distribution as a fuzzy restriction which acts as an elastic constraint on the values that may be assigned to a variable.
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The role of fuzzy logic in the management of uncertainty in expert systems

TL;DR: F fuzzy logic is suggested, which is the logic underlying approximate or, equivalently, fuzzy reasoning, which leads to various basic syllogisms which may be used as rules of combination of evidence in expert systems.
Journal ArticleDOI

General multiple-objective decision functions and linguistically quantified statements

TL;DR: The concept of linguistically quantified propositions is used to develop a whole family of forms for the representation of multiple-objective decision functions.
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Fuzzy knowledge combination

TL;DR: The fuzzy knowledge combination theory is extended by associating general credibility weights with the knowledge sources, and a new set of weighting axioms is required to satisfy certain intuitions and to satisfy the admissibilityAxioms.