Book Review: "COMPLEXITY MANAGEMENT IN FUZZY SYSTEMS: A RULE BASE COMPRESSION APPROACH", ALEXANDER GEGOV

2008 ◽  
Vol 07 (01) ◽  
pp. 101-102
Author(s):  
David G. Stork
Keyword(s):  
Fuzzy Systems ◽  
Rule Base ◽  
Complexity Management

scholarly journals THE REAL-WORLD-SEMANTICS INTERPRETABILITY OF LINGUISTIC RULE BASES AND THE APPROXIMATE REASONING METHOD OF FUZZY SYSTEMS

2019 ◽  
Vol 57 (2) ◽  
pp. 233
Author(s):  
Nguyen Thu Anh ◽  
Tran Thai Son
Keyword(s):  
Real World ◽  
Fuzzy Systems ◽  
Graphical Representation ◽  
Approximate Reasoning ◽  
Rule Base ◽  
Computational Semantics ◽  
Mathematical Basis ◽  
The Real ◽  
Computational Structure ◽  
Application Problem

The real-world-semantics interpretability concept of fuzzy systems introduced in [1] is new for the both methodology and application and is necessary to meet the demand of establishing a mathematical basis to construct computational semantics of linguistic words so that a method developed based on handling the computational semantics of linguistic terms to simulate a human method immediately handling words can produce outputs similar to the one produced by the human method. As the real world of each application problem having its own structure which is described by certain linguistic expressions, this requirement can be ensured by imposing constraints on the interpretation assigning computational objects in the appropriate computational structure to the words so that the relationships between the computational semantics in the computational structure is the image of relationships between the real-world objects described by the word-expressions. This study will discuss more clearly the concept of real-world-semantics interpretability and point out that such requirement is a challenge to the study of the interpretability of fuzzy systems, especially for approaches within the fuzzy set framework. A methodological challenge is that it requires both the computational expression representing a given linguistic fuzzy rule base and an approximate reasoning method working on this computation expression must also preserve the real-world semantics of the application problem. Fortunately, the hedge algebra (HA) based approach demonstrates the expectation that the graphical representation of the rule of fuzzy systems and the interpolation reasoning method on them are able to preserve the real-world semantics of the real-world counterpart of the given application problem.

scholarly journals Complexity management methodology for fuzzy systems with feedback rule bases

2014 ◽  
Vol 26 (1) ◽  
pp. 451-464 ◽  
Author(s):  
Alexander Gegov ◽  
David Sanders ◽  
Boriana Vatchova
Keyword(s):  
Fuzzy Systems ◽  
Complexity Management ◽  
Rule Bases ◽  
Feedback Rule

Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation

2006 ◽  
Vol 11 (5) ◽  
pp. 401-419 ◽  
Author(s):  
Rafael Alcalá ◽  
Jesús Alcalá-Fdez ◽  
María José Gacto ◽  
Francisco Herrera
Keyword(s):  
Fuzzy Systems ◽  
Rule Base ◽  
Genetic Tuning
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