Name
Abstract | ||
|---|---|---|
One of the main objectives of ecology is to analyze, maintain, and enhance the bio-diversity of different ecosystems. To be able to do that, we need to gauge bio-diversity. Several semi-heuristic diversity indices have been shown to be in good accordance with the intuitive notion of bio-diversity. In this paper, we provide a theoretical justification for these empirically successful techniques. Specifically, we show that the most widely used techniques - Simpson index - can be justified by using simple fuzzy rules, while a more elaborate justification explains all empirically successful diversity indices. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/FUZZ-IEEE.2015.7337831 | 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
Keywords | Field | DocType |
bio-diversity index,ecology,ecosystem,semi-heuristic diversity index,theoretical justification,Simpson index,fuzzy rule | Biodiversity,Diversity index,Diversity scheme,Computer science,Fuzzy logic,Artificial intelligence,Management science | Conference |
ISSN | Citations | PageRank |
1544-5615 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olga Kosheleva | 1 | 97 | 54.24 |
| Craig E. Tweedie | 2 | 15 | 4.61 |
| Vladik Kreinovich | 3 | 1091 | 281.07 |