Like draws to like: A Multi-granularity Ball-Intra Fusion approach for fault diagnosis models to resists misleading by noisy labels
Although data-driven fault diagnosis methods have achieved remarkable results, these
achievements often rely on high-quality datasets without noisy labels, which can mislead the …
achievements often rely on high-quality datasets without noisy labels, which can mislead the …
Evidential reasoning with hesitant fuzzy belief structures for human activity recognition
In the original belief function (BF) theory, a precise-valued belief structure has been widely
used to represent uncertain information. However, this mentioned belief structure is difficult …
used to represent uncertain information. However, this mentioned belief structure is difficult …
Optimal site selection for women university using neutrosophic multi-criteria decision making approach
Site selection for an institute or a university is a challenging task. The selection of sites for
setting up a new university depends on multiple criteria. In backward, under privileged area …
setting up a new university depends on multiple criteria. In backward, under privileged area …
An evidential game theory framework in multi-criteria decision making process
Multi-criteria decision making process is a widely concerned issue. In traditional studies, it is
assumed that a decision maker's behaviors are not affected by others. However, competitive …
assumed that a decision maker's behaviors are not affected by others. However, competitive …
Applications of neutrosophic logic to robotics: An introduction
F Smarandache, L Vlădăreanu - 2011 IEEE international …, 2011 - ieeexplore.ieee.org
Applications of neutrosophic logic to robotics: An introduction Page 1 Applications of Neutrosophic
Logic to Robotics An Introduction Florentin Smarandache University of New Mexico Gallup, NM …
Logic to Robotics An Introduction Florentin Smarandache University of New Mexico Gallup, NM …
A non-parametric method to determine basic probability assignment for classification problems
As an important tool for knowledge representation and decision-making under uncertainty,
Dempster-Shafer evidence theory (DS theory) has been used in many fields. The application …
Dempster-Shafer evidence theory (DS theory) has been used in many fields. The application …
Service selection in stochastic environments: a learning-automaton based solution
In this paper, we propose a novel solution to the problem of identifying services of high
quality. The reported solutions to this problem have, in one way or the other, resorted to …
quality. The reported solutions to this problem have, in one way or the other, resorted to …
A belief classification rule for imprecise data
Z Liu, Q Pan, J Dezert - Applied intelligence, 2014 - Springer
The classification of imprecise data is a difficult task in general because the different classes
can partially overlap. Moreover, the available attributes used for the classification are often …
can partially overlap. Moreover, the available attributes used for the classification are often …
[PDF][PDF] Embracing Imperfection in Enterprise Architecture Models.
In Enterprise Architecture (EA) projects, models are built to represent business and
Information Technologies (IT) elements, and to abstract the relation between them in one …
Information Technologies (IT) elements, and to abstract the relation between them in one …
Several generalized interval-valued 2-Tuple linguistic weighted distance measures and their application
H Cheng, F Meng, K Chen - International Journal of Fuzzy Systems, 2017 - Springer
With respect to interval-valued 2-tuple linguistic variables, this paper first defines a
generalized distance measure. Then, several generalized interval-valued 2-tuple linguistic …
generalized distance measure. Then, several generalized interval-valued 2-tuple linguistic …