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Extracting fuzzy rules under uncertainty and measuring definability using rough sets
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Culas, Donald E. |
| Copyright Year | 1991 |
| Description | Although computers have come a long way since their invention, they are basically able to handle only crisp values at the hardware level. Unfortunately, the world we live in consists of problems which fail to fall into this category, i.e., uncertainty is all too common. A problem is looked at which involves uncertainty. To be specific, attributes are dealt with which are fuzzy sets. Under this condition, knowledge is acquired by looking at examples. In each example, a condition as well as a decision is made available. Based on the examples given, two sets of rules are extracted, certain and possible. Furthermore, measures are constructed of how much these rules are believed in, and finally, the decisions are defined as a function of the terms used in the conditions. |
| File Size | 2355029 |
| Page Count | 72 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920016954 |
| Archival Resource Key | ark:/13960/t1rg0nh1s |
| Language | English |
| Publisher Date | 1991-12-09 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Fuzzy Sets Decision Theory Probability Theory Set Theory Cognition Expert Systems Information Systems Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
