Abstract
Understanding the level of uncertainty associated with a prediction is valuable in determining its utility in decision making. One measure of information is Yager's notion of specificity. Yager views specificity as the degree to which a possibility distribution points to a single element in the universe of discourse (U). Specificity in relation to U may complicate its utility in the optimization of fuzzy models in their linguistic space. An increase in granularity is useful to measure the amount of information contained in a possibility distribution in relation to fuzzy sets as opposed to U. This abstracted view of specificity motivates the need for a more generalized version of specificity, denoted Linguistic Specificity (SpL), where alternatives are measured in relation to the linguistic terms. Such a generalization is useful in support of automating decisions in a fuzzy domain. Results of the linguistic specificity measure are illustrated using an automobile fuel consumption example.
Original language | English (US) |
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Title of host publication | IEEE International Conference on Fuzzy Systems |
Publisher | IEEE |
Volume | 3 |
State | Published - 1999 |
Event | Proceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea Duration: Aug 22 1999 → Aug 25 1999 |
Other
Other | Proceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 |
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City | Seoul, South Korea |
Period | 8/22/99 → 8/25/99 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Software
- Artificial Intelligence
- Applied Mathematics