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Computational intelligence for disease diagnosis: an approach based on neutrosophic logic
No full textMedical diagnosis faces significant challenges due to the inherent uncertainty and ambiguity of clinical data. In this context, this paper proposes a neutrosophic logic-based approach to disease diagnosis, with an emphasis on the detection of chronic kidney disease. The primary objective was to develop a computational method that adequately represents and manages uncertainty by transforming clinical attributes into neutrosophic structures composed of triplets (T: truth, I: indeterminacy, F: falsity). The implemented methodology included the collection and preprocessing of real clinical data extracted from the UCI repository (135 patients), the application of imputation and normalization techniques, the definition of diagnostic criteria, the fuzzification of attributes using membership functions (triangular, trapezoidal, Gaussian, and sigmoid), and the application of neutrosophic logic to obtain a final diagnosis. The proposal was evaluated using standard metrics such as accuracy, precision, sensitivity, F1-score, MAE, and RMSE. The results obtained from experimental tests show that the model achieves accuracy levels above 90%, with a low margin of error, which validates its ability to offer reliable diagnoses even in the presence of ambiguous or incomplete data. It is concluded that the neutrosophic approach constitutes an effective and flexible alternative to traditional binary classification models, providing a robust computational framework for medical decision-making under uncertainty
Evaluating the Negative Impacts of New Technologies on Intellectual Property Law Using Neutrosophic Z Numbers
No full textEmerging technologies like generative AI and blockchain present significant challenges to intellectual property (IP) law, creating ambiguity in assigning ownership and protection. This study addresses the need for robust methods to assess these negative impacts from a legal practitioner\u27s perspective, where uncertainty is prevalent. We introduce and empirically test an assessment methodology using newly formulated Neutrosophic Z-numbers, which explicitly incorporate truth, indeterminacy, and falsity, along with their respective reliabilities. A quasi-experimental design was employed with 30 INDECOPI IP law practitioners, divided into control and experimental groups (the latter receiving specialized training). Participants assessed case studies involving new technologies. Results showed the experimental group demonstrated a statistically significant (p \u3c 0.001) greater ability to identify and analyze the negative IP implications, particularly for AI and blockchain. This research offers a novel tool for IP impact assessment, with practical implications for professional training and regulatory development, contributing to more effective IP rights protection in the digital age
Measuring Legal Efficacy in Urban Animal Protection: A Novel Approach with NeutroAlgebra and Linguistic Models
No full textThis study, conducted in the Ecuadorian context, introduces an innovative method employing NeutroAlgebra and a 2-tuple neutrosophic linguistic model to evaluate the efficacy of legal and doctrinal foundations for the protection of urban fauna, focusing on dogs and cats. Faced with challenges such as abandonment and deficient enforcement of regulations in urbanized societies, the research addresses the complexity of measuring the true effectiveness of legal frameworks, considering the inherent uncertainties in their application and interpretation. The analysis is based on expert assessments across five fundamental categories. Preliminary findings, derived from aggregated expert opinions, indicate varied levels of perceived effectiveness: citizen participation (F5) emerges as a robust factor with a \u27High\u27 rating. In contrast, the constitutional basis (F1), regulatory framework (F2), and judicial interpretation (F4) are perceived as \u27Somewhat High\u27 efficacy. Critically, institutional implementation (F3) is identified as the weakest area, with a \u27Rather Low\u27 rating. These results suggest that while citizen commitment and a legal basis exist, significant challenges persist in the practical execution and effective enforcement of animal protection laws
QuantumSoft Set: A Quantum-Inspired Extension of Soft Sets for Evaluating Multimedia Teaching Effectiveness in College English
No full textEvaluation of Practice-Based Curriculum Objectives Achievement Degree Using Einstein Aggregation Operators of Single-Valued Neutrosophic Credibility Numbers
No full textAssessment of the Uncertainty Associated with Wind-Powered Hydrogen Production Using Neutrosophic
Get PDFNeutrosophic Graph Theory for Evaluation of High-Quality Party Building in Driving the High-Quality Development of Universities
Get PDFNutrition Curriculum Module 11 Bean Let\u27s Get Cooking
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