In respect to the multi-attribute group decision making (MAGDM) problems in which evaluated value of each attribute is form q-rung orthopair fuzzy numbers (q-ROFNs), a new approach MAGDM developed. Firstly, aggregation operator, called partitioned Maclaurin symmetric mean (PMSM) proposed deal with situations where attributes are into different parts and there interrelationships among multiple same part whereas not related. Some desirable properties PMSM investigated. Then, order aggregate...

With people’s increasing concern about food safety, cold-chain logistics distribution centre is playing an important rolein preventing from going bad. Now centres have the problems of too muchtransportation, low degree automation, unreasonable layout planning, complex process etc. It isimportant to solve these in order achieve efficient distribution. Firstly modeling and simulation for theoperation a fruits vegetables by using Flexsim software isrealized. Then paper analyses preliminary...

Train running performance largely depends on the controller. In order to improve controller of speed profile tracking, an adaptive control method for subway trains is addressed in this paper. Considered time-varying parameters train motion, model with dynamic constructed. The free combined neural network and proportional-integral-derivative (PID) algorithm proposed realize control. laws parameter tuning are both illustrated, PID gain range actuator saturation taken into consideration....

This article investigates the feasibility of applying broad learning system (BLS) to realize a novel Takagi–Sugeno–Kang (TSK) neuro-fuzzy model, namely based dynamic fuzzy inference (BL-DFIS). It not only improves accuracy and interpretability models but also solves challenging problem that are incapable determining optimal architecture autonomously. BL-DFIS first accomplishes TSK under framework BLS, in which an extreme machine auto-encoder is employed obtain feature representation fast...

Lithium-ion battery state-of-charge (SOC) estimation is crucial for enhancing the safety and performance of management systems prolonging lifespan. However, nonlinear dynamics charging discharging processes pose significant challenges achieving accurate SOC estimation. To address this, a novel Bayesian-optimized temporal convolution network (TCN)–long short-term memory (LSTM) proposed, combining (TCN) long to enhance accuracy. This study leverages CALCE dataset employs random forest...

The synchronization of the new energy vehicle (NEV) supply chain network is crucial for enhancing industrial integration, building intelligent systems, and promoting sustainable development. This study proposes a novel model NEV network, incorporating technical method measuring intervals. research makes three key contributions: (1) development dynamic capturing complex interactions within chains; (2) introduction quantitative assessing intervals; (3) identification critical parameters...

As the core carrier of low-carbon transportation transformation, sustainable optimization supply chain new energy vehicles is crucial to reduce carbon emissions throughout life cycle and improve resource utilization efficiency. However, current problems, such as waste, duplicate production, low logistics efficiency caused by insufficient information coordination, have become bottlenecks restricting green development industry. A large number studies shown that collaboration plays a key role...

Background: Personal trust tendency is an individual characteristic that can affect one's evaluation of others, behavior and its related outcomes. It may significantly health information seeking compliance. Therefore, this article aims at figuring out how personal influences patient compliance through the internet satisfaction with it. Methods: Data were collected from 336 valid participants online survey in China. There are two independent variables: (1) cognition-based (2) affect-based...

Classification is essential to the applications in field of data mining, artificial intelligence, and fault detection. There exists a strong need developing accurate, suitable, efficient classification methods algorithms with broad applicability. Random forest general algorithm that often used for under complex conditions. Although it has been widely adopted, its combination diverse fuzzy theory still worth exploring. In this article, we propose intuitionistic random (IFRF), new ensemble...

Abstract The fault diagnosis of rolling bearings is a critical aspect rotating machinery, as it significantly contributes to the overall operational safety mechanical equipment. In practical engineering environment, complex and variable working conditions, along with presence overlapping noise, contribute intricate frequency information in acquired signals their highly time-dependent characteristics, which makes difficult extract available features hidden signal. Based on this, hybrid method...

The Internet of Things (IoT) makes it possible for us to sense the physical world and locate objects in using enabling technologies associated with IoT. Compared traditional information systems, IoT can help acquire real-time data necessary managing enterprise business process. An system should have an ability beyond integrating systems that are only used access environmental data. This paper begins a literature review IoT-related issues discussion difference between service service. Three...

In China, the utilization of medical resources is contentious, and a large hospitals are seriously congested because huge population uneven distribution resources. Online health communities (OHCs) provide patients with platforms to interact physicians get professional suggestions emotional support. This study adopted unified theory acceptance use technology identify factors influencing patients’ behavioral intention usage behavior when interacting in OHCs. An investigation involving 378...

Speed profile design and tracking control are two important issues to ensure the performance of automatic train operation system. Aiming realize maximum optimization probability running, this paper constructs an integrated optimal method through speed fuzzy PID controller design. In recommended design, three typical running strategies included in proposed comprehensive scheme extend solution space, constructed simulation is combined with NSGA-II algorithm solve such multiobjective problem....

Big data have shown their great potential value to serve many aspects of human life. Due complexity the medical and healthcare big in real life, traditional analysis methods are difficult be dealt with. Therefore, a single method is unable analyze manage heterogeneous sources. To utilize fully from perspective decision-making, we propose novel framework which guides smartly proactively processed for decision-making without user interventions. The contains five stages, intelligent cleaning,...

With the rapid growth in medical data, hospitals need to make enormous investments annually expand computing resources. Cloud offers a platform for running services. However, sharing of data with unknown neighbors cloud environment may threaten sensitive Private provides safety way protect But it is quite different from public cloud, since not easy obtain more resources timely when unpredictable workload over total amount private cloud. In addition, optimal resource allocation becomes key...