Investor sentiment plays an important role on the stock market. User-generated textual content Internet provides a precious source to reflect investor psychology and predicts prices as complement market data. This paper integrates analysis into machine learning method based support vector machine. Furthermore, we take day-of-week effect consideration construct more reliable realistic indexes. Empirical results illustrate that accuracy of forecasting movement direction SSE 50 Index can be...

This paper develops a game model of closed-loop supply chain consisting one manufacturer, remanufacturer and retailer investigates the long-term collection strategies manufacturer who needs to cooperate with develop remanufacturing technology. The is developed from fully dynamic perspective on technology development analyzed using system dynamics method. We identify trade-off in choice strategies: early entry industry versus complete control later stage. simulation results show that when...

COVID-19 is an epidemic threat to human health caused by a novel coronavirus. Different countries are still struggling with whether extend lockdown policies considering economic recession outcomes or lift the and recover fragile economy. This research narrows knowledge gap applying decision-making approach in fuzzy environment consider uncertainties supply chain risk assessment of construction industry during pandemic. Besides, factors (RFs) identified interrelationships between RFs...

With the rapid development of automotive manufacturing industry, enhancing production efficiency and flexibility in stamping workshops has become crucial for maintaining competitiveness. This paper presents an intelligent scheduling method based on enhanced genetic algorithm to address challenges workshops. By incorporating magic square selection initializing population improved roulette wheel operation, this approach significantly enhances search solution quality algorithm. During...

Gastroscopy is a widely adopted method for gastric cancer screening and early diagnosis. Clinical studies show that it can effectively prolong patient life maximise therapeutic effect. However, difficult doctors to identify detect lesions in real time, which manifests as the major challenge gastroscopy. In this paper, we propose SCEG, smart connected electronic gastroscopy system performs dynamic By integrating with cloud-based medical image analysis service, develop an AdaBoost-based...

This paper investigates the pricing strategy of firms in context uncertain demand. In particular, there are two factors that affect demand dynamics, influence reference prices and price competition. monopoly case, policy is affected by reference-price effects duopoly both competitive present. each optimal paths derived simulated. The implications uncertainty analyzed comparing deterministic with stochastic policy. random variations investigated to provide a risk analysis for work such market...

Gastroscopy is a widely adopted method for locating gastric lesions and performing the early screening diagnosis of cancer (GC). However, effectiveness traditional GC methods depends on medical skills gastroscopy specialist. A lack knowledge experience may lead to misdiagnosis mistreatment, especially in small-scale hospitals. Recently, there has been significant increase studies data-driven computer-aided techniques. In this article, we propose novel intelligent decision-making (ID-GCS),...

We propose an innovative and forward-looking method to examine investor herd behavior identify fundamental-driven spurious herding. A sentence-based sentiment analysis approach is conceived automatically extract attitudes or emotions from textual documents. Then we build a mathematical model discern by exploiting the indices. Empirical tests in Chinese stock market indicate that there exists significant true among blue-chips. Investors with pessimistic are more likely than those optimistic...

AbstractUncertainties are always involved in construction projects, and most on-site assessments rely on qualitative data to determine the level of risk which workers exposed. Furthermore, majority legal documents for companies statistical inadequate analysis. This aspect enhances uncertainty worksite circumstances. research aims propose a novel approach fuzzy environment consider uncertainties interdependencies assessment occupational safety projects. Occupational factors (OSRFs) identified...

Hospital performance and efficiency are key aspects of a modern national health system. This paper focuses on the evaluation risk hospital by investigating ranking 329 hospitals in US public healthcare sector. Performance dimensions cover different factors that include cost revenue, treatment environment capacity, labors, technical quality. Although it is possible to appraise for given indicators using systemic approach, data envelopment analysis (DEA), associated score rankings appear be...

In this paper, we present a framework for evaluating risk contagion by merging financial networks with machine learning techniques. The begins building network model based on the inter-institutional correlation network, followed analyzing structure and overall value changes of under stress liquidation shock. We then examine network’s evolution over time. also use three techniques to assess abnormal volatility important institutions in network. Finally, evaluate spillover effects ESG...

Purpose Credit risk evaluation is a crucial task for banks and non-bank financial institutions to support decision-making on granting loans. Most of the current credit methods rely solely expert knowledge or large amounts data, which causes some problems like variable interactions hard be identified, models lack interpretability, etc. To address these issues, authors propose new approach. Design/methodology/approach First, improve interpretive structural model (ISM) better capture utilize...

Rapid development of information technology allows consumers to search and purchase services or products online, then redeem them in offline stores. This emerging e-commerce model, the online-to-offline (O2O) service platform, has been catching significantly increasing attention. However, numerous cyber O2O lead difficulties for customers make appropriate decisions. In this paper, we propose a personalized recommendation method based on novel frequent service-set network (FSSN). integrates...

COVID-19 has had a significant impact on urban pick-up and delivery services, including meal online ride-hailing. In this article, we propose decision framework for minimizing the indirect contact in services as way to control cost of precautionary measures, manage risk resurgence, contain spread COVID-19. We present integer linear programming models order assignment vehicle routing problems minimize well its extension with multiple objectives. prove that problem is NP-hard even fixed number...