Information Sciences: an International Journal

In the process of group decision making, dual hesitant fuzzy sets (DHFSs) are a very flexible tool for decision makers (DMs) to express their preferences for alternatives. Based on an extended VIKOR method, in this paper, we propose an approach for ...

Presenting a novel message embedding algorithm using the optimal weighted modulus.Systematically producing optimal weights within a controllable maximal range.Resolving the problem of pixel illegality and achieving the minimal pixel distortion.The ...

Efficiently describing and discovering communities in a network is an important research concept for graph clustering. In the paper, we present a community description model that evaluates the local importance of a node in a community and its importance ...

In some applications, measurement errors and multiple repeated measurements often lead to a set-based classification task where objects are represented with a set of samples, and the traditional support vector machines (SVMs) do not work in these ...

Study distributed data management from big data trajectory based on distributed R-tree.The query trajectory is based on distance threshold and activities involved in the trajectory.The algorithms to store and maintain data into distributed index achieve ...

In this paper, we propose two novel measures to specify motion significance and motion complexity from human motion trajectories. Motion significance indicates the relative meaningfulness of every motion frame which is defined as a set of data points ...

In the Cloudlet architecture of Mobile Cloud Computing (MCC), a mobile device, in order to overcome its lack of resources, offloads resource-intensive tasks on a nearby and self-managed cloud-based data center (i.e., cloudlet). In this architecture, a ...

This paper deals with the problem of H∞ filtering for stochastic neural networks (SNNs) with a mixed of time-varying interval delays, time-varying distributed delays, and leakage delays. A novel quintuple integral Lyapunov-Krasovskii functional (LKF) is ...

This work aims to resolve deadlock problems in flexible manufacturing systems. A novel deadlock control policy in the frame of Petri nets formalism is presented for a class of generalized Petri nets, namely G-systems, which can usually model assembly ...

Location-based services have motivated intensive research in the field of mobile computing, and particularly on location-dependent queries. Existing approaches usually assume that the location data are expressed at a fine geographic precision (physical ...

Multi-sensor multi-object detection and estimation is solved by a clustering approach.Accommodate little prior information about targets, background and sensors.Neither sophisticated modeling nor unrealistic assumption is required.Outperform state-of-...

This paper presents a bio-inspired artificial neural network (Bio-ANN) to tackle the tracking control of complex dynamic systems. The proposed Bio-ANN is motivated by the operant conditioning of biological systems, in which we not only adaptively tune ...

In this paper, we discuss the main scientific aspects of a Multi-Agent System (MAS), which was designed for monitoring Smart Grids (SGs) with assessment of optimal settings obtained through approximate Optimal Power Flow (OPF) solutions. The ...

Hesitant fuzzy linguistic term set (HFLTS) is a useful tool for describing people's subjective cognitions in the process of decision making. Multiple criteria decision making (MCDM) involves two important steps: (1) determining the criteria weights; (2) ...

In rough set theory (RST), and more generally in granular computing on information tables (GRC-IT), a central tool is the Pawlak's indiscernibility relation between objects of a universe set with respect to a fixed attribute subset. Let us observe that ...