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Granular Computing


Granular Computing OnlineFirst articles

09.08.2022 | Original Paper

Finite-difference method for fuzzy singular integro-differential equation deriving from fuzzy non-linear differential equation

In this article, first time, a well-known equation, which can be used to analyze the behavior of the bubble formulation in the mixture of gas and liquid in fluid dynamics, has been considered in the form of a non-linear ordinary differential …

08.08.2022 | Original Paper

Winsorized dendritic neuron model artificial neural network and a robust training algorithm with Tukey’s biweight loss function based on particle swarm optimization

Multilayer perceptron artificial neural networks, which are one of the most popular artificial neural network models, are affected by outliers in the data set because they have both additive and multiplicative aggregation functions. From this …

06.08.2022 | Original Paper

A solution algorithm for finding the best and the worst fuzzy compromise solutions of fuzzy rough linear programming problem with triangular fuzzy rough number coefficients

An algorithm for the solution of the fuzzy rough linear programming (FRLP) problems with triangular fuzzy rough number parameters is proposed to overcome the uncertainty in decision-making problems. While the costs of the objective function and …

06.08.2022 | Original Paper

Multi-attribute decision-making based on the advanced possibility degree measure of intuitionistic fuzzy numbers

In this paper, we propose a novel multi-attribute decision-making (MADM) approach for the intuitionistic fuzzy numbers (IFNs) environment. For this, we propose the advanced possibility degree measure (APDM) to rank the intuitionistic fuzzy numbers …

05.08.2022 | Original Paper

Extended CODAS method for multi-attribute group decision-making based on 2-tuple linguistic Fermatean fuzzy Hamacher aggregation operators

The 2-tuple linguistic model initiated by Herrera and Martinez has become one of the most useful computing with words approaches. It provides an effective way of representing the linguistic evaluation in terms of 2-tuples to avoid information loss …

Über diese Zeitschrift

Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules.

Aims The Journal of Granular Computing provides a rapid dissemination of timely and important results. The aim is to bring recent advances in the dynamically expanding area including its fundamentals, algorithmic developments, and applications. It supports the integration of theoretical and practical results leading to advanced applications. The journal establishes an international forum and aims to address the needs of the academic community as well as to appeal to practitioners and graduate students by publishing time-to-time review material and surveys. It serves as a platform fostering comparisons, extensions, and innovative applications.

The scope The journal covers a broad spectrum of subjects of Granular Computing embracing the theory, methodology, and applied side of the discipline including case studies. Theoretical and applied studies involving fuzzy sets, interval analysis, rough sets, shadowed sets, probabilistic sets yet well positioned in the synergistic setup of Granular Computing and making reference to the fundamentals of the area are welcome.

Several categories of manuscripts are considered including regular papers, correspondences, reviews and case studies.

Granular Computing
Jahrgang 1/2016 - Jahrgang 7/2022
Springer International Publishing
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