scholarly journals The use of fuzzy databases and knowledge bases for aiding engineering projects

2013 ◽  
Vol 12 (1) ◽  
pp. 069-076
Author(s):  
Janusz Szelka ◽  
Zbigniew Wrona
Keyword(s):  
Decision Making ◽  
Database Systems ◽  
Knowledge Bases ◽  
Fuzzy Data ◽  
Fuzzy Knowledge Bases ◽  
Decision Making Processes ◽  
Engineering Projects ◽  
Fuzzy Knowledge

The IT tools that are widely used for aiding information and decision-making tasks in engineering activities include classic database systems, and in the case of problems with poorly-recognised structure – systems with knowledge bases. The uniqueness of these categories of systems allows, however, neither to represent the approximate or imprecise nature of available data or knowledge nor to process fuzzy data. Since so far there have been no solutions related to the use of fuzzy databases or fuzzy knowledge bases in engineering projects, it seems necessary to make an attempt to assess the possible employment of these technologies to aid analytical and decision-making processes.

Design of Network-Based Fuzzy Knowledge Bases for Medical Decision-Making Support Systems

2009 ◽  
Vol 43 (4) ◽  
pp. 187-190 ◽  
Author(s):  
N. A. Korenevsky ◽  
S. A. Gorbatenko ◽  
R. A. Krupchatnikov ◽  
M. I. Lukashov
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Support Systems ◽  
Knowledge Bases ◽  
Medical Decision ◽  
Fuzzy Knowledge Bases ◽  
Fuzzy Knowledge ◽  
Decision Making Support

Evolutionary Local Search of Fuzzy Rules through a Novel Neuro-Fuzzy Encoding Method

2003 ◽  
Vol 11 (4) ◽  
pp. 439-461
Author(s):  
A. Carrascal ◽  
D. Manrique ◽  
J. Ríos ◽  
C. Rossi
Keyword(s):  
Local Search ◽  
Knowledge Bases ◽  
New Approach ◽  
Fuzzy Knowledge Bases ◽  
Neuro Fuzzy ◽  
Indirect Encoding ◽  
Local Search Procedure ◽  
Encoding Method ◽  
Real World Problems ◽  
Fuzzy Knowledge

This paper proposes a new approach for constructing fuzzy knowledge bases using evolutionary methods. We have designed a genetic algorithm that automatically builds neuro-fuzzy architectures based on a new indirect encoding method. The neuro-fuzzy architecture represents the fuzzy knowledge base that solves a given problem; the search for this architecture takes advantage of a local search procedure that improves the chromosomes at each generation. Experiments conducted both on artificially generated and real world problems confirm the effectiveness of the proposed approach.

scholarly journals Interpretation of results of intelligent analysis of fuzzy knowledge bases

2014 ◽  
Vol 3 (2(69)) ◽  
pp. 30
Author(s):  
Олександр Юхимович Сєдушев ◽  
Євген Вікторович Буров
Keyword(s):  
Knowledge Bases ◽  
Fuzzy Knowledge Bases ◽  
Intelligent Analysis ◽  
Fuzzy Knowledge ◽  
Interpretation Of Results

scholarly journals Making Decisions in Monitoring by Using Decision-Making Method, Knowledge Bases and New it Solutions

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jefto Džino ◽  
Branko Latinović ◽  
Zoran Ž. Avramović
Keyword(s):  
Decision Making ◽  
Semantic Web ◽  
Open Source ◽  
Knowledge Bases ◽  
Decision Makers ◽  
Decision Making Process ◽  
Specific Knowledge ◽  
Decision Making Processes

In this paper we deal with decision-making processes in monitoring with the use of new technological solutions. This is an area where decision-makers in monitoring face a large number of different challenges and need appropriate specific knowledge. We give an example of a method for making complex decisions. Here we propose the application of the semantic web and knowledge bases that can provide decision-makers with a quick access to the necessary knowledge in the decision-making process. To update some of the knowledge we will use the Protégé editor, an open source platform. Our goal is not to update all the necessary knowledge needed by those who make decisions in monitoring, but only to propose a new concept to their faster fullfilment and more efficient use.

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