Soft Computing

Soft Computing OnlineFirst articles

19.01.2019 | Focus

Multi-objective stable matching and distributional constraints

In this paper, we study a centralized matching scheme that has to assign a set of agents to a set of jobs by meeting distributional constraints. The scheme has to maximize social welfare and fairness offered by the matching to the parties.

18.01.2019 | Focus

Scalable detection of botnets based on DGA

Efficient feature discovery process in machine learning techniques

Botnets are evolving, and their covert modus operandi, based on cloud technologies such as the virtualisation and the dynamic fast-flux addressing, has been proved challenging for classic intrusion detection systems and even the so-called …

18.01.2019 | Methodologies and Application

Research on a novel minimum-risk model for uncertain orienteering problem based on uncertainty theory

Probability theory is the most common method to solve the orienteering problems in the state of indeterminacy. However, it will no longer be applicable without available samples. In this paper, we focus on uncertain orienteering problem containing …

18.01.2019 | Focus

Hybrid data fusion model for restricted information using Dempster–Shafer and adaptive neuro-fuzzy inference (DSANFI) system

Information fusion is the crux of data fusion which is used to compare large numerical data using normalization and aggregate function. The recent trends in information fusion have the limitations in fusing the important details in order to …

18.01.2019 | Methodologies and Application

A new version of KSOR method with lower number of iterations and lower spectral radius

In this paper, we propose a new method for solving linear algebraic systems based on the KSOR method. The new approach introduces a new coefficient in the assumed updated section from the KSOR method. It obtains the same solution as KSOR for a …

Weitere Informationen

Titel

Soft Computing

Verlag

Springer Berlin Heidelberg

Abdeckung

Jahrgang 1/1997 - Jahrgang 23/2019

Print ISSN

1432-7643

Elektronische ISSN

1433-7479

DOI

https://doi.org/10.1007/500.1433-7479

Zeitschriften-ID

500