Traffic signal installation by the expert system using fuzzy set theory for inexact reasoning

1993 ◽  
Vol 17 (2) ◽  
pp. 191-201 ◽  
Author(s):  
Yu‐Hern Chang ◽  
Tsuen‐Ho Shyu
Keyword(s):  
Expert System ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Traffic Signal ◽  
Inexact Reasoning

A FUZZY EXPERT SYSTEM BASED ON POSITIVE RULES FOR DEPRESSION DIAGNOISIS

2020 ◽  
pp. 33-39
Author(s):  
Mai Thi Nu
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Knowledge Base ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Medical Records ◽  
Intelligent Systems ◽  
Fuzzy Expert System ◽  
Test Results

Fuzzy set theory and fuzzy logic are highly suitable mathematical tools for developing intelligent systems in medicine. This paper presents a fuzzy expert system based on positive rules for diagnosing depression types. A knowledge base that includes more than 800 positive rules to determine diagnostic conclusions for 04 types of depression. The expert system has been tested on more than 200 medical records of depressed patients. Test results show the suitable accuracy of the system in diagnosis.

Present State of the Medical Expert System CADIAG-2

1985 ◽  
Vol 24 (01) ◽  
pp. 13-20 ◽  
Author(s):  
K.-P. Adlassnig ◽  
G. Kolarz ◽  
W. Scheithauer
Keyword(s):  
Expert System ◽  
Clinical Diagnosis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Mathematical Tool ◽  
Diagnostic Systems ◽  
Medical Expert ◽  
Medical Expert System ◽  
Medical Diagnostic

SummaryUncertainty of knowledge about the patient and about medical relationships is generally accepted and considered to be an inherent concept in medicine. The physician, however, is quite capable of drawing conclusions from this information. Naturally, these conclusions are approximate rather than precise.Fuzzy set theory provides the possibility of defining imprecise medical entities as fuzzy sets. It offers a linguistic concept with excellent approximation to medical texts. In addition, fuzzy logic presents powerful reasoning methods that can handle approximate inferences. These facts make fuzzy set theory highly suitable for the development of computer-based medical diagnostic systems.The medical expert system CADIAG-2 provides evidence that fuzzy set theory is a suitable mathematical tool for formalizing medical processes.CADIAG-2/RHEUMA is being extensively tested on cases from a rheumatological hospital. Results from 327 cases are presented. In 265 cases, i.e. 81%, the clinical diagnosis could be either confirmed (223 cases, i.e. 68.2%) or established as a diagnostic hypothesis (42 cases, i.e. 12.8%).CADIAG-2/PANCREAS was tested on 47 cases of pancreatic diseases. In 43 cases, i.e. 91.5%, the clinical diagnosis was either confirmed by CADIAG-2 or established as one of the hypotheses with the highest or second highest number of points in a ranked list of hypotheses.

Freeway ramp control using fuzzy set theory for inexact reasoning

1990 ◽  
Vol 24 (1) ◽  
pp. 15-25 ◽  
Author(s):  
Leon L. Chen ◽  
Adolf D. May ◽  
David M. Auslander
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Inexact Reasoning ◽  
Ramp Control

Estimating construction waste generation in residential buildings: A fuzzy set theory approach in the Brazilian Amazon

2020 ◽  
Vol 265 ◽  
pp. 121779 ◽  
Author(s):  
Luiz Maurício Furtado Maués ◽  
Brisa do Mar Oliveira do Nascimento ◽  
Weisheng Lu ◽  
Fan Xue
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Residential Buildings ◽  
Brazilian Amazon ◽  
Theory Approach ◽  
Waste Generation ◽  
Construction Waste

Knowledge fusion method based on fuzzy set theory

2020 ◽  
Vol 38 (4) ◽  
pp. 3971-3979
Author(s):  
Yana Yuan ◽  
Huaqi Chai
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Fusion Method ◽  
Knowledge Fusion
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