PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Kempowsky, Tatiana"

Author of the publication

copydeleteadd this publication to your clipboard
Towards a Unified Principle for Reasoning about Heterogeneous Data: a Fuzzy Logic Framework.

, , , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20 (2): 281-302 (2012)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Tatiana Senkova University of Stuttgart

Tatiana Velasquez Castaneda University of Stuttgart

 

Other publications of authors with the same name

Process situation assessment: From a fuzzy partition to a finite state machine., , and . Eng. Appl. of AI, 19 (5): 461-477 (2006)Towards a Unified Principle for Reasoning about Heterogeneous Data: a Fuzzy Logic Framework., , , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20 (2): 281-302 (2012)Automaton based on fuzzy clustering methods for monitoring industrial processes., , , , and . Eng. Appl. of AI, 26 (4): 1211-1220 (2013)Symbolic Data Analysis to Defy Low Signal-to-Noise Ratio in Microarray Data for Breast Cancer Prognosis., , , , , and . Journal of Computational Biology, 20 (8): 610-620 (2013)Membership-margin based feature selection for mixed type and high-dimensional data: Theory and applications., , , and . Inf. Sci., (2015)Prognosis of Breast Cancer based on a Fuzzy Classification Method., , , and . BIOINFORMATICS, page 123-130. INSTICC Press, (2010)Improved Breast Cancer Prognosis based on a Hybrid Marker Selection Approach., , , , and . BIOINFORMATICS, page 159-164. SciTePress, (2011)Functional State Estimation Methodology Based on Fuzzy Clustering for Complex Process Monitoring., , and . IBERAMIA, volume 7637 of Lecture Notes in Computer Science, page 340-349. Springer, (2012)Situation prediction based on fuzzy clustering for industrial complex processes., , , and . Inf. Sci., (2014)Sensor placement and fault detection using an efficient fuzzy feature selection approach., , , , , and . CDC, page 6827-6832. IEEE, (2010)