scholarly journals A fuzzy reasoning system for boundary detection in radiological images

2002 ◽  
Author(s):  
J.M. Molina ◽  
M.J. Martin ◽  
P. Isasi ◽  
A. Sanchis
Keyword(s):  
Fuzzy Reasoning ◽  
Boundary Detection ◽  
Reasoning System ◽  
Radiological Images

scholarly journals Classification of GIS Based on Adaptive Neural-Fuzzy Reasoning System

2020 ◽  
Vol 446 ◽  
pp. 042023
Author(s):  
Yufeng Lu ◽  
Yi Su ◽  
Zhaoting Liang ◽  
Yifan Lu ◽  
Jinjian Huang
Keyword(s):  
Fuzzy Reasoning ◽  
Reasoning System ◽  
Neural Fuzzy

scholarly journals OPTIMIZATION OF CLOSE RANGE PHOTOGRAMMETRY NETWORK DESIGN APPLYING FUZZY COMPUTATION

2017 ◽  
Vol XLII-4/W4 ◽  
pp. 31-36
Author(s):  
A. S. Aminia
Keyword(s):  
Network Design ◽  
Fuzzy Reasoning ◽  
Close Range Photogrammetry ◽  
Reasoning System ◽  
Network Concept ◽  
Optimum Position ◽  
Accuracy Of Measurements ◽  
Image Capturing ◽  
Close Range

Measuring object 3D coordinates with optimum accuracy is one of the most important issues in close range photogrammetry. In this context, network design plays an important role in determination of optimum position of imaging stations. This is, however, not a trivial task due to various geometric and radiometric constraints affecting the quality of the measurement network. As a result, most camera stations in the network are defined on a try and error basis based on the user's experience and generic network concept. In this paper, we propose a post-processing task to investigate the quality of camera positions right after image capturing to achieve the best result. To do this, a new fuzzy reasoning approach is adopted, in which the constraints affecting the network design are all modeled. As a result, the position of all camera locations is defined based on fuzzy rules and inappropriate stations are determined. The experiments carried out show that after determination and elimination of the inappropriate images using the proposed fuzzy reasoning system, the accuracy of measurements is improved and enhanced about 17% for the latter network.

Fuzzy reasoning system design and assessment of load-bearing endoprostheses and their fabrication processes

2012 ◽  
Vol 57 (3) ◽  
pp. 759-766
Author(s):  
S. Sobieszczyk
Keyword(s):  
Contact Stress ◽  
Porous Scaffold ◽  
Small Deviation ◽  
Fuzzy Reasoning ◽  
Ti Alloy ◽  
Load Bearing ◽  
Reasoning System ◽  
Maximum Contact Stress ◽  
Hip Joint Endoprosthesis ◽  
Maximum Contact

Five attempts of an application of a fuzzy reasoning approach to problems encountered in biomechanics and engineering of biomaterials are presented. They include: (A) assessment of maximum contact stress acting on endoprosthesis, (B) design of sintering plan to obtain a porous/scaffold implant, (C) design of oxidation plan to obtain nanotubular oxide structure on the Ti alloy, (D) and (E) design of deposition of hydroxyapatite coating on the Ti alloy. The fuzzy reasoning system is shown to well predict: the maximum contact stress estimation on acetabular surface of the load-bearing hip joint endoprosthesis for chosen and given Wiberg’s angle values and patient’s body weight; the optimal geometry of scaffold’s architecture; the geometry of TiO2 nanotubular layer on titanium surface and directions of the adjustment of fabrication conditions; the ratio of Ca/P and the coating crystallinity; effects of control factors (sintering temperature and content of ZnO) on mechanical properties of BHA-ZnO composite. A small deviation of the predicted values from those obtained in the course of experiments can be decreased by improvement of the proposed fuzzy model i.e. adjusting fuzzy membership functions of input and output variables.

A Fuzzy Reasoning System for Computer-Guided Laparoscopy Training

2020 ◽  
Author(s):  
Minsik Hong ◽  
Kai Meisner ◽  
SeungHyun Lee ◽  
Andre M. Schreiber ◽  
Jerzy W. Rozenblit
Keyword(s):  
Fuzzy Reasoning ◽  
Laparoscopy Training ◽  
Reasoning System

scholarly journals Knowledge Representation of Architectural Design by Using IBIS-FRS System

2005 ◽  
Vol 9 (6) ◽  
pp. 677-683
Author(s):  
Marly Kiatake ◽  
◽  
Liang-Yee Cheng ◽  
João R. D. Petreche
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Knowledge Representation ◽  
Architectural Design ◽  
Fuzzy Reasoning ◽  
Design Information ◽  
Reasoning Process ◽  
Reasoning System ◽  
Two Systems ◽  
Decision Making Processes

IBIS-FRS is a framework of design information that can be used to represent the reasoning process of designers in order to assist them in the decision-making processes. It is a combination of two systems - IBIS (Issue-Based Information Systems) and FRS (Fuzzy Reasoning System). This paper presents an application of IBIS-FRS to architectural design: the development of systems for evaluation of living's configuration in dwelling designs. These systems are used to analyse two cases of study and the results show the potential of IBIS-FRS in organizing the design information and in evaluating and improving the design.

Epicardial boundary detection using fuzzy reasoning

1991 ◽  
Vol 10 (2) ◽  
pp. 187-199 ◽  
Author(s):  
J. Feng ◽  
W.-C. Lin ◽  
C.-T. Chen
Keyword(s):  
Fuzzy Reasoning ◽  
Boundary Detection
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