International Journal of Intelligent Systems

Cover Caption: The cover image is based on the Research Article A deep transfer‐learning‐based dynamic reinforcement learning for intelligent tightening system by Wentao Luo et al., https://doi.org/10.1002/int.22345. image image

The issues of ruggedness and vulnerability are cruxes in network security research, which must be considered during the network designing phase. Parameters such as toughness, isolated toughness, and binding number characterize the vulnerable of ...

In this paper, a neuro‐fuzzy observer (NFO) is proposed for estimating the unmeasured states of an information‐poor system by relaxing the strictly positive real condition (without using filtered fuzzy basis function (FBF) and filtered output ...

vMixing coins strategy can realize the anonymity of user information, thereby protecting the user's privacy. Ideally, the blacklist is public information and all bad coins are recorded in it. However, due to the failure of some bad coins to be ...

The 2‐tuple linguistic neutrosophic set (2TLNS) does a good job in coping with vague and uncertain environments and has been widely used in numerous fields. In this article, we come up with a new solution of multiple attribute group decision‐...

In recent decades, image segmentation has aroused great interest of many researchers, and has become an important part of machine learning, pattern recognition, and computer vision. Among many methods of image segmentation, fuzzy C‐means (FCM) ...

A measure is necessary for various decision‐making problems, but it is inherently difficult for fuzzy information. This paper defines an extended probabilistic hesitant I‐fuzzy set (PHIFS), and develops a simple and effective measure based on ...

Traveling Salesman Problem (TSP) is an intricate discrete hybrid optimization problem that is categorized as an NP‐Hard problem. The objective of the TSP is to find the shortest Hamilton route between cities to visit all existing cities and ...

In this paper, we performed a series of measurement campaigns on the wireless electromagnetic noise for two typical industrial welding scenarios. On this basis, we investigate the characterization of the impulsive noise mainly from two aspects, ...

The application of artificial intelligence (AI) methods in medical field is increasing year by year; however, few studies have applied AI methods in the reproductive field. In view of the complexity of infertility diagnosis and treatment, a ...

Reinforcement learning (RL) has been widely applied in the static environment with standard reward functions. For intelligent tightening tasks, it is a challenge to transform expert knowledge into a recognizable mathematical expression for RL ...

A deep transfer‐learning‐based dynamic reinforcement learning (DRL‐DTL) model is proposed to enable machine systems in industry to obtain the intelligent decision‐making ability. Data generated in the physical layer (multisensors included) are input to ...

Logic aggregators are all aggregators characterized by andness/orness. In this paper we present necessary properties of logic aggregators and use them to compare major implementations of andness‐characterized aggregators: means, t‐norms/conorms, ...

Intuitionistic fuzzy set is a significance soft computing tool for curbing fuzziness embedded in decision‐making processes. To enhance the applicability of intuitionistic fuzzy sets in modelling practical real‐life problems, various computing ...

As a necessary work before risk prevention and control, risk assessment has become increasingly important in multimodal transport networks. On the basis of the idea of quality function deployment (QFD), this paper combines fuzzy G1 method, two‐...

Deep neural network model is the core technology for sensors of the autonomous driving platform to perceive the external environment. Recent research have shown that it has a certain vulnerability. The artificial designed adversarial examples can ...

In this paper, based on power aggregation (PA) operators, neutrality average and neutrality geometric aggregation operators are proposed. Furthermore, a general score function for q‐rung orthopair fuzzy sets (q‐ROFSs) is proposed. PA can reduce ...