Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Albena Tchamova"'
Publikováno v:
Modelling and Development of Intelligent Systems ISBN: 9783031270338
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8a759250ebc3ca8c9c427d703b34e80
https://doi.org/10.1007/978-3-031-27034-5_15
https://doi.org/10.1007/978-3-031-27034-5_15
Autor:
Nadejda Bocheva, Pavlina Konstantinova, Jean Dezert, Albena Tchamova, Bilyana Genova, Miroslava Stefanova
Publikováno v:
Cybernetics and Information Technologies. 21:73-86
The paper presents a study on the human learning process during the classification of stimuli, defined by motion and color visual cues and their combination. Because the classification dimension and the features that define each category are uncertai
Publikováno v:
Cybernetics and Information Technologies
Cybernetics and Information Technologies, 2020, 20, pp.38-59. ⟨10.2478/cait-2020-0039⟩
Cybernetics and Information Technologies, 2020, 20, pp.38-59. ⟨10.2478/cait-2020-0039⟩
In this paper we present two applications of a new Belief Function-based Inter-Criteria Analysis (BF-ICrA) approach for the assessment of redundancy of criteria involved in Multi-Criteria Decision-Making (MCDM) problems. This BF-ICrA method allows to
Autor:
Jean Dezert, Albena Tchamova
Publikováno v:
Information & Security: An International Journal.
Autor:
Jean Dezert, Albena Tchamova
Publikováno v:
Information & Security: An International Journal.
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783031178009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb0c8ff20de97252e08c1691460fbe0e
https://doi.org/10.1007/978-3-031-17801-6_12
https://doi.org/10.1007/978-3-031-17801-6_12
Publikováno v:
Recent Advances in Computational Optimization ISBN: 9783030823962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54d512d7145b1289f6abbea5f102d30d
https://doi.org/10.1007/978-3-030-82397-9_3
https://doi.org/10.1007/978-3-030-82397-9_3
Publikováno v:
FedCSIS
2020 Federated Conference on Computer Science and Information Systems
2020 Federated Conference on Computer Science and Information Systems, Sep 2020, Sofia, Bulgaria. pp.241-249, ⟨10.15439/2020F10⟩
2020 Federated Conference on Computer Science and Information Systems
2020 Federated Conference on Computer Science and Information Systems, Sep 2020, Sofia, Bulgaria. pp.241-249, ⟨10.15439/2020F10⟩
International audience; In this paper, we present a fast Belief Function based Inter-Criteria Analysis (BF-ICrA) method based on the canonical decomposition of basic belief assignments defined on a dichotomous frame of discernment. This new method is
Publikováno v:
FUSION
2020 IEEE 23rd International Conference on Information Fusion (FUSION)
2020 IEEE 23rd International Conference on Information Fusion (FUSION), Jul 2020, Sun City, South Africa. pp.1-8, ⟨10.23919/FUSION45008.2020.9190347⟩
2020 IEEE 23rd International Conference on Information Fusion (FUSION)
2020 IEEE 23rd International Conference on Information Fusion (FUSION), Jul 2020, Sun City, South Africa. pp.1-8, ⟨10.23919/FUSION45008.2020.9190347⟩
International audience; In this paper, we propose a new Multi-Criteria Decision-Making method (MCDM) which is rank reversal free. We call it the SPOTIS method standing for Stable Preference Ordering Towards Ideal Solution method. Our method is exempt
Publikováno v:
FUSION
2020 IEEE 23rd International Conference on Information Fusion (FUSION)
2020 IEEE 23rd International Conference on Information Fusion (FUSION), Jul 2020, SUN CITY, South Africa. pp.1-8, ⟨10.23919/FUSION45008.2020.9190547⟩
2020 IEEE 23rd International Conference on Information Fusion (FUSION)
2020 IEEE 23rd International Conference on Information Fusion (FUSION), Jul 2020, SUN CITY, South Africa. pp.1-8, ⟨10.23919/FUSION45008.2020.9190547⟩
International audience; In this paper, we propose a new fusion approach to combine basic belief assignments (BBAs) defined on a di-chotomous frame of discernment based on their canonical decomposition. In a companion paper, we have already proved tha