Abstract
The application of the two-phase method of forming a granular representation of signals in computing with words is discussed. To make the method suitable for real world data, based on the range of the membership degree and the Box and Whisker test, a stage of data processing is added, which is used to eliminate the outliers. At the same time, to generalize the application of this two-phase method, on the one hand, a new approach for collecting the data for words-the questionnaire approach is introduced; on the other hand, the person-membership approach for collecting data is also utilized here by discretizing the obtained data (functions). With the two-phase method of forming a granular representation of signals and these two kinds of data collecting approach, 'words' could be easily converted to general type-2 fuzzy sets, which could be applied directly in computing with words.
| Original language | English |
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| Publication status | Published - 2017 |
| Event | 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 - Beijing, China Duration: 2 Nov 2017 → 5 Nov 2017 |
Conference
| Conference | 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 |
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| Country/Territory | China |
| City | Beijing |
| Period | 2/11/17 → 5/11/17 |
Keywords
- Computing with words
- General type-2 fuzzy set
- Two-phase method