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The rule combines the fuzzy knowledge with the confidence effectually.
Expert systems can gain significant success by incorporating fuzzy knowledge and a graphical means of description.
Fuzzy mining approaches have recently been discussed for deriving fuzzy knowledge.
The fuzzy knowledge based design methods are based on Takagi Sugeno model.
Fuzzy knowledge bases are embedded in these equations as nonlinear constructive blocks.
Aiming at this objective, a knowledge representation scheme is proposed, which is called DRFK (Dynamic Representation of Fuzzy Knowledge).
Similar(34)
The paper describes the development of a fuzzy knowledge-based prototype system for conceptual design.
The outputs of the fuzzy knowledge-based system are three maps representing 'likelihood of changes', 'nature of changes' and 'magnitude of changes'.
This study developed an automated fuzzy Knowledge-based Decision Support System Quality Function Deployment (KBDSS-QFD) tool to facilitate the team to mitigate such problems.
This paper presents a fuzzy knowledge-based model to measure the qualitative aspects related to one of the most important financial instruments used to regulate an economy, the base interest rate.
In the first phase, the system selects the most appropriate MHE types for every MH operation in a given application using a Fuzzy Knowledge-Based Expert System consisting of two sets of rules: Crisp Rules and Fuzzy Rules.
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