Soft Computing

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Soft Computing OnlineFirst articles

25.05.2020 | Methodologies and Application

Applications of probabilistic hesitant fuzzy rough set in decision support system

The objective of this manuscript is to present the notion of probabilistic hesitant fuzzy rough (PHFR) set and their basic operations. As a generalization of the sets, PHFR set is a more profitable way to express the uncertainties in the data. For …

25.05.2020 | Methodologies and Application

Big healthcare data for Trivial client having Novel Smart Attire (NSA)

Big Data and Big Data technologies are changing the world. Healthcare is no exemption. Hospitals need to face and solve Big Data problems including collecting, processing, storing, analysing and retrieving the real-time and accumulated historical …

24.05.2020 | Methodologies and Application

Implicit mood computing via LSTM and semantic mapping

This article proposes an implicit mood computing system. The implicit mood computing task is a part of affective computing. Previous works in affective computing mostly focus on twitters, blogs, movie interviews, and news corpus. These works …

23.05.2020 | Methodologies and Application

Shadowed sets with higher approximation regions

This paper mainly discusses three points involving shadowed set approximation of a given fuzzy set. Firstly, a principle of uncertainty balance, which guarantees that preservation of uncertainty in the induced shadowed set is studied. Secondly, an …

23.05.2020 | Methodologies and Application

Multi-label charge predictions leveraging label co-occurrence in imbalanced data scenario

Charge prediction is to predict associated charges based on fact descriptions and plays a significant role in legal aid systems. It is a fundamental and challenging task to automatically predict charges in the multi-label classification paradigm …

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Über diese Zeitschrift

Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.

Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.

Indexed by Science Citation Index, Inspec, Compendex, DBLP, Computer Science Index, Current Abstracts, Current Contents, EBSCO host, IngentConnect, MetaPress, Springerlink, OCLC, SCOPUS, Ulrich´s, Zentralblatt Math

Titel: Soft Computing
Verlag: Springer Berlin Heidelberg
Abdeckung: Jahrgang 1/1997 - Jahrgang 24/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/500.1433-7479
Zeitschriften-ID: 500

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