Advances and Applications of DSmT for Information Fusion
By Florentin Smarandache, Jean Dezert. 2004
624 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/31f830bd931a78d4e829f97021df112e0a160ac6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Philippe Smets
- Richa Singh
- Mayank Vatsa
- Afzel Noore
- Jin-Hee Cho
- Sibel Adali
- Max M. Houck
- Kevin Sean Chan
In Computational Theory and Mathematics
- Philippe Smets
- Richa Singh
- Mayank Vatsa
- Afzel Noore
- Jin-Hee Cho
- Sibel Adali
- Max M. Houck
- Kevin Sean Chan
In Management Science and Operations Research
- Philippe Smets
- Richa Singh
- Mayank Vatsa
- Afzel Noore
- Jin-Hee Cho
- Sibel Adali
- Max M. Houck
- Kevin Sean Chan
Citations in the corpus
- Quality-augmented fusion of level-2 and level-3 fingerprint information using DSm theory (2009, positive): “It can solve complex static or dynamic fusion problems using plausible and paradoxical reasoning [17,18].”
- A Survey on Trust Modeling (2015, methodology): “Various belief models [Shafer 1976; Dezert and Smarandache 2004; Zadeh 1983; Jøsang 2001] have been used to estimate certainty in information.”
- Analyzing the combination of conflicting belief functions (2007, methodology): “[84] In the hybrid DSm model, conflicts are considered.”