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Decision making with an interval-valued fuzzy preference relation and admissible orders.

, , , , и . Appl. Soft Comput., (2015)

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Barbara Grumbt

Charakterisierung und Rekonstitution des Mia40-Erv1-Disulfidtransfersystems in Mitochondrien. Uni München, (2009)

Barbara Sandhöfer

The fate of singularities in quantum cosmology and the application of generalized effective equations to constrained quantum systems. Uni Köln, (2009)

Judith Barbara Heine

Beitrag der Rot- und Grünzapfen zum Elektroretinogramm der inneren Netzhaut. Uni Tübingen, (2004)

Barbara Böck

Barbara Wiemer

 

Другие публикации лиц с тем же именем

Decision making with an interval-valued fuzzy preference relation and admissible orders., , , , и . Appl. Soft Comput., (2015)Certain Aspects of Decision Making Model: Intuitionistic Fuzzy Preference Relations.. IPMU (2), том 298 из Communications in Computer and Information Science, стр. 481-490. Springer, (2012)Semi-properties of Atanassov Intuitionistic Fuzzy Relations., , , , и . IWIFSGN@FQAS, том 401 из Advances in Intelligent Systems and Computing, стр. 137-147. Springer, (2015)Application of entropy measures with uncertainty in classification methods with missing data problem., , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2021)Application of similarity measures with uncertainty in classification methods., , , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2020)Properties of Interval-Valued Fuzzy Relations, Atanassov's Operators and Decomposable Operations.. IPMU (1), том 80 из Communications in Computer and Information Science, стр. 647-655. Springer, (2010)Compositions Consistent with the Modus Ponens Property Used in Approximate Reasoning.. EUSFLAT/IWIFSGN (3), том 643 из Advances in Intelligent Systems and Computing, стр. 138-149. Springer, (2017)General Preference Structure with Uncertainty Data Present by Interval-Valued Fuzzy Relation and Used in Decision Making Model.. EUSFLAT/IWIFSGN (3), том 643 из Advances in Intelligent Systems and Computing, стр. 150-161. Springer, (2017)The Sugeno Integral Used for Federated Learning with Uncertainty for Unbalanced Data., , , и . FUZZ, стр. 1-6. IEEE, (2023)Application of the Fuzzy Logic to Evaluation and Selection of Attribute Ranges in Machine Learning., , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2021)