International Journal of Fuzzy System Applications (IJFSA) - Current IssueInternational Journal of Fuzzy System Applications (IJFSA)https://www.igi-global.com/journal/international-journal-fuzzy-system-applications/41876IGI GlobalenInternational Journal of Fuzzy System Applications (IJFSA)2156-177X2156-1761© 2024 IGI Globalecontent@igi-global.comInternational Journal of Fuzzy System Applications (IJFSA)https://coverimages.igi-global.com/cover-images/covers/ijfsa.pnghttps://www.igi-global.com/journal/international-journal-fuzzy-system-applications/41876Diagnosing organizational climate of junior high schools in Taiwanhttps://www.igi-global.com/article//342606The study aims to prioritize critical climate components for school improvement. A psychometrically validated instrument named the Chinese “Organizational Climate Diagnostic Instrument for Junior High Schools” (OCDI-JH) was used to diagnose climate factors through expert judgments and fuzzy DEMATEL-based ANP. Results of the study identified the six factors clustered under the two dimensions of ‘Safety’ (D1) or ‘Academic emphasis’ (D2) should be given particular attention for school effectiveness. The established climate diagnosis appraisal computed by fuzzy DEMATEL-based ANP can be extended to other school regions for systematically developing school climate based on contextually specific needs and concerns. Future research studies are expected to provide incremental and value-added contributions to the competitive advantages of Taiwan’s junior high school education.10.4018/IJFSA.342606International Journal of Fuzzy System Applications (IJFSA), Volume: 13, Issue: 1 (2024) Pages: 0-0Artificial IntelligenceComputer Science & ITArtificial Intelligence2024-01-01T05:00:00Z131002024-01-01T05:00:00ZA Game Model Analysis of the International Digital Service Tax in an Asymmetric Market Duopolyhttps://www.igi-global.com/article//342116Against the backdrop of the rapidly expanding digital economy, multinational corporations are increasingly exploiting information asymmetry in the market to employ covert and diverse methods of tax avoidance. This poses a significant challenge to tax collection and administration. The proposal of a Digital Service Tax aims to adapt the international tax system to the digitalization of the economy, ensuring fair and reasonable tax payments. To address these challenges, this paper assumes an asymmetric international digital economy market and a domestic market characterized by duopoly. It establishes an asymmetric market duopoly game, calculates the digital gains of each country's market using the Logistic function, determines the Nash equilibrium of the Data Service Tax game, and analyzes the relationship between the Digital Service Tax rates of strong and weak countries in the digital economy.10.4018/IJFSA.342116International Journal of Fuzzy System Applications (IJFSA), Volume: 13, Issue: 1 (2024) Pages: 0-0Artificial IntelligenceComputer Science & ITArtificial Intelligence2024-01-01T05:00:00Z131002024-01-01T05:00:00ZFuzzy SVM with Mahalanobis Distance for Situational Awareness-Based Recognition of Public Health Emergencieshttps://www.igi-global.com/article//342117In public health emergencies, situational awareness is crucial for swift responses by governments and rescue organizations. In this manuscript, a novel framework is proposed to identify and classify event-specific information, aiming to comprehend concepts, characteristics, and classifications associated with situational awareness in social media emergencies. First, a statistical approach is employed to extract a set of standard features. Second, a category-based Latent Dirichlet Allocation to Vector (LDA2vec) model is leveraged to extract topic-based features to enhance accuracy, particularly for unbalanced datasets. Finally, a Fuzzy Support Vector Machine (FSVM) classifier utilizing the Mahalanobis distance kernel is introduced to improve the detection accuracy of event-specific information. The framework's effectiveness is evaluated using the social media public health dataset, achieving superior filtering capabilities for non-informative data with a precision of 89% and an F1-Score of 91%, surpassing other standard methods.10.4018/IJFSA.342117International Journal of Fuzzy System Applications (IJFSA), Volume: 13, Issue: 1 (2024) Pages: 0-0Artificial IntelligenceComputer Science & ITArtificial Intelligence2024-01-01T05:00:00Z131002024-01-01T05:00:00ZMental Health Status and Influencing Factors of College Studentshttps://www.igi-global.com/article/mental-health-status-and-influencing-factors-of-college-students/334233This study aims to address the mental health challenges brought about by the diversified development and rapid changes in society, with special attention to the psychological status of the student population. By using the SCL-90 mental health testing tool, collecting students' mental health data, and applying the fuzzy comprehensive evaluation method to analyze and evaluate students' mental health and its influencing factors in depth, the study aims to provide more effective countermeasures for students' mental health education as well as targeted teaching assistance for teachers. This study combines the BP neural network prediction model, which is committed to improving the accurate prediction of students' mental health status. The results of the study will help to assess the mental health level of students, detect and intervene in psychological crises in a timely manner, provide schools with more comprehensive mental health management and services, and promote the overall healthy growth of students.10.4018/IJFSA.334233International Journal of Fuzzy System Applications (IJFSA), Volume: 13, Issue: 1 (2024) Pages: 1-17Yang, LiangqunArtificial IntelligenceComputer Science & ITArtificial Intelligence2024-01-01T05:00:00Z1311172024-01-01T05:00:00ZMulti-Dimensional Cloud Model-Based Assessment and Its Application to the Risk of Supply Chain Financial Companieshttps://www.igi-global.com/article/multi-dimensional-cloud-model-based-assessment-and-its-application-to-the-risk-of-supply-chain-financial-companies/333863The multi-dimensional cloud model is proposed as the expansion of the one-dimensional cloud model. The features of ambiguity and stochasticity in complex information situations are considered; thus, this optimized model can be utilized upon multiple value classifications and ordering via which the objects' attributes of physical and social can be reflected. Therefore, this promoted model is wildly used. This paper provides a knowledge graph by reviewing the theoretical research of the multi-dimensional cloud model and its related bibliographies, and Cite Space is applied here to give a visualization conclusion. In recent years, a multitude of theories and methods have emerged to address the challenges posed by fuzzy and stochastic uncertainty in various domains, such as image segmentation, data mining, prediction techniques, and comprehensive evaluation of multiple metrics and dimensions using uncertain linguistic variables.10.4018/IJFSA.333863International Journal of Fuzzy System Applications (IJFSA), Volume: 13, Issue: 1 (2024) Pages: 1-29Zhou, JinmingZhan, YuanyuanChen, SiboArtificial IntelligenceComputer Science & ITArtificial Intelligence2024-01-01T05:00:00Z1311292024-01-01T05:00:00ZExploration on the Influential Factors of College Students' Innovation and Entrepreneurship Intention Based on Analytic Hierarchy Processhttps://www.igi-global.com/article/exploration-on-the-influential-factors-of-college-students-innovation-and-entrepreneurship-intention-based-on-analytic-hierarchy-process/337966This article identifies the factors that affect college students' social entrepreneurship willingness from the perspective of individuals and colleges, and introduces the social environment as a moderating variable to analyze its role in the generation of various factors and college students' social entrepreneurship willingness. The analysis method constructs the judgment matrix of each layer, calculates the weight of each influencing factor and its overall ranking, and provides theoretical guidance and model support for local governments, colleges and universities, and college students to enhance their entrepreneurial intentions. On the basis of expert consultation, questionnaire method and practical research, a “four-in-one” innovation and entrepreneurship education evaluation index system is constructed, and the analytic hierarchy process (AHP) is used to study the innovation and entrepreneurship education evaluation system.10.4018/IJFSA.337966International Journal of Fuzzy System Applications (IJFSA), Volume: 13, Issue: 1 (2024) Pages: 1-19Yang, YanjiaArtificial IntelligenceComputer Science & ITArtificial Intelligence2024-01-01T05:00:00Z1311192024-01-01T05:00:00ZA New Fuzzy Joint Choquet Integral Method Under Interval-Valued Functionhttps://www.igi-global.com/article/a-new-fuzzy-joint-choquet-integral-method-under-interval-valued-function/334699A new fuzzy group decision-making method considering multi-attributes correlation under interval-valued function is presented, which mainly includes (1) acquiring the group fuzzy preference matrix and (2) handling the interactions between multiple evaluation attributes. To do that, firstly, the fuzzy joint Choquet integral based on an interval-valued function is proposed, which not only reflects the interaction between multiple attributes in a complex and uncertain environment, but also retains the initial preference of the decision maker. Secondly, a Shapley value with fuzzy measure is applied to assign each decision maker's weight, and the fuzzy group preference matrix is acquired by fusing the fuzzy preference matrices of all decision makers. Finally, a nursing home selection case is depicted to explain the effectiveness of the proposed technique. The corresponding sensitivity analysis is operated, which clarifies the reliability and flexibility of the proposed technique.10.4018/IJFSA.334699International Journal of Fuzzy System Applications (IJFSA), Volume: 13, Issue: 1 (2024) Pages: 1-21Liu, KaishengArtificial IntelligenceComputer Science & ITArtificial Intelligence2024-01-01T05:00:00Z1311212024-01-01T05:00:00Z