scholarly journals Fuzzy database for medical diagnosis.

2021 ◽  
Author(s):  
Rehana Parvin
Keyword(s):  
Decision Making ◽  
Fuzzy Inference ◽  
Database Systems ◽  
Database System ◽  
Inference System ◽  
Related Information ◽  
Data Value ◽  
Schema Design ◽  
Health Related ◽  
Fuzzy Database

A challenge of working with traditional database systems with large amounts of data is that decision making requires numerous comparisons. Health-related database systems are examples of such databases, which contain millions of data entries and require fast data processing to examine related information to make complex decisions. In this thesis, a fuzzy database system is developed by integration of fuzzy inference system (FIS) and fuzzy schema design, and implementing it by SQL in three different health-care contexts; the assessments of heart disease, diabetes mellitus, and liver disorders. The fuzzy database system is implemented with the potential of having any form of data and tested with different types of data value, including crisp, linguistic, and null (i.e., missing) data. The developed system can explore crisp and linguistic data with loosely defined boundary conditions for decision-making. FIS and neural network-based solutions are implemented in MATLAB for the mentioned contexts for the comparison and validation with the dataset used in published works.

Fuzzy database systems-challenges and opportunities of a new era

1998 ◽  
Vol 11 (9) ◽  
pp. 649-659 ◽  
Author(s):  
Roy George ◽  
Frederick E. Petry ◽  
Bill P. Buckles ◽  
Radhakrishnan Srikanth
Keyword(s):  
Database Systems ◽  
New Era ◽  
Challenges And Opportunities ◽  
Fuzzy Database

Managing subjective information in fuzzy database systems

1993 ◽  
Author(s):  
Hideo Tashiro ◽  
Naoto Ohki ◽  
Takahiko Nomura ◽  
Teruo Yokoyama ◽  
Yutaka Masushita
Keyword(s):  
Database Systems ◽  
Subjective Information ◽  
Fuzzy Database

scholarly journals Tuning Methods of Membership Functions for Multi-User Fuzzy Database Systems

1994 ◽  
Vol 6 (2) ◽  
pp. 351-362 ◽  
Author(s):  
Naoto OKI ◽  
Takahiko NOMURA ◽  
Hideo TASHIRO ◽  
Ryu KAMEKURA ◽  
Teruo YOKOYAMA ◽  
...  
Keyword(s):  
Database Systems ◽  
Membership Functions ◽  
Fuzzy Database ◽  
Tuning Methods
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