Authors: Strehl, Karsten
Moraga, Claudio
Temme, Karl
Stanković, Radomir 
Title: Fuzzy decision diagrams for the representation, analysis and optimization of rule bases
Journal: Proceedings of The International Symposium on Multiple-Valued Logic
First page: 127
Last page: 132
Conference: 30th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2000); 25-25 May 2000; Portland, OR, USA
Issue Date: 1-Jan-2000
Rank: M30
ISSN: 0195-623X
DOI: 10.1109/ISMVL.2000.848610
When no expert knowledge is available, fuzzy if-then rules may be extracted from examples of performance of a system. For this, an a priori decision on the number of linguistic terms of the linguistic variables may be required. This may induce a 'rigid granularity', usually finer than that actually required by the system. Fuzzy Decision Diagrams are introduced as an efficient data structure to represent fuzzy rule bases and to systematically check their completeness and consistency. Moreover if the hypothesis of rigid granularity holds, reordering of the variables of a Fuzzy Decision Diagram may lead to a compacter and more precise rule base. The concept of reconvergent subgraphs is introduced to support the search for effective reorderings.
Publisher: IEEE

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