We propose the adoption of the newly introduced SMART operators to improve the readability of a Fuzzy rule-based system developed for sentiment analysis. Specifically, the S-or operator will be utilized to combine the results of various rules generated from a designated lexicon. Conversely, the S-and operator will merge the diverse inferences derived from multiple lexicons.
Information Fusion in Sentiment Fuzzy Rule-Based systems: How to Improve Readability and Robustness through SMART Operators / Capotorti, Andrea; Petturiti, Davide; Vantaggi, Barbara. - (2025), pp. 71-81. ( 13th Workshop on Uncertainty Processing (WUPES’25) Tˇrešt’, Czech Republic ).
Information Fusion in Sentiment Fuzzy Rule-Based systems: How to Improve Readability and Robustness through SMART Operators
Davide Petturiti;Barbara Vantaggi
2025
Abstract
We propose the adoption of the newly introduced SMART operators to improve the readability of a Fuzzy rule-based system developed for sentiment analysis. Specifically, the S-or operator will be utilized to combine the results of various rules generated from a designated lexicon. Conversely, the S-and operator will merge the diverse inferences derived from multiple lexicons.| File | Dimensione | Formato | |
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