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Performance Evaluation of Venture Capital for Small and Medium-Sized Technology Startups under Uncertainty Environmen
No full textThis study presents a novel approach to evaluating venture capital in an uncertain environment using a multi-criteria decision-making (MCDM) methodology integrated with the plithogenic framework. Venture capital decisions often involve numerous conflicting factors and vague information, making precise evaluations challenging. The MARCOS method was applied to rank eleven alternatives based on eight criteria, such as return on investment and market growth. The criteria weights were computed using normalized crisp values, and the plithogenic operator was utilized to handle uncertainty. Sensitivity analysis confirmed the stability of the results, showing that the proposed method effectively ranks alternatives under varying conditions. The findings highlight the robustness of the MARCOS approach when integrated with plithogenic sets in addressing complex decision-making scenarios
Different operators via weighted averaging and geometric approach using trigonometric neutrosophic interval-valued set and its extension
No full textThis work presents a new method for generating tangent trigonometric neutrosophic interval-valued sets. This article will cover tangent trigonometric neutrosophic interval-valued weighted averaging, geometric, generalized notions. We used an aggregating model to get the weighted average and geometric. Several sets with substantial characteristics will be further studied using the algebraic technique
Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle
No full textThis article introduces a novel approach to enhance competency-based learning by combining the Deming Cycle with neutrosophic statistics. Competency-based education focuses on practical skills, but uncertainty in student performance and assessment can hinder its effectiveness. Neutrosophic statistics, unlike traditional methods, explicitly models indeterminacy, providing a more complete picture of uncertainty in educational data. This approach integrates neutrosophic numbers into re gression analysis to predict learning outcomes and quantify the confidence level of those predictions. These predictions, with their associated indeterminacy, then inform the Deming Cycle (Plan-Do Check-Act), enabling educators to dynamically adjust teaching strategies based on data-driven in sights. This leads to more informed decision-making, improved accuracy and reliability in predic tions, and ultimately fosters continuous improvement in competency-based education
2023/2024 Construction Management BS Assessment
No full texthttps://digitalrepository.unm.edu/provost_assessment/4366/thumbnail.jp
Family Roots and Research Journal UNM Emeritus Professor José A. Rivera
No full textThis article is an abbreviated life narrative of UNM Emeritus Professor of Community and Regional Planning, José A. Rivera. It begins with highlights of his family ancestry and continues with an account of his educational experiences K-12 and into a decade of university life as a student while earning a bachelor’s, two master’s and a doctorate. He taught at UNM for 35 years while also conducting research in his areas of interest, mostly in community irrigation studies, mutual aid societies, and rural development. The main body in the article focuses on positions he held at UNM and on publications that resulted from field work he conducted in New Mexico, the U.S. Southwest, as well as internationally. Throughout, Professor Rivera kept a journal of research notes, some of which are featured in the article. Countries selected for inclusion here were Spain, the Philippines, Peru, and Mexico. Publications about New Mexico and the U.S. Southwest are listed and available at the UNM Digital Repository
Uncertain Labeling Graphs and Uncertain Graph Classes (with Survey for Various Uncertain Sets)
No full textGraph theory, a branch of mathematics, studies the relationships between entities using vertices and edges. Uncertain Graph Theory has emerged within this field to model the uncertainties present in real-world networks. Graph labeling involves assigning labels, typically integers, to the vertices or edges of a graph according to specific rules or constraints. This paper introduces the concept of the Turiyam Neutrosophic Labeling Graph, which extends the traditional graph framework by incorporating four membership values—truth, indeterminacy, falsity, and a liberal state—at each vertex and edge. This approach enables a more nuanced representation of complex relationships. Additionally, we discuss the Single-Valued Pentapartitioned Neutrosophic Labeling Graph.The paper also examines the relationships between these novel graph concepts and other established types of graphs. In the Future Directions section, we propose several new classes of Uncertain Graphs and Labeling Graphs. And the appendix of this paper details the findings from an investigation into set concepts within Uncertain Theory. These set concepts have inspired numerous proposals and studies by various researchers, driven by their applications, mathematical properties, and research interests
Some Graph Parameters for Superhypertree-width and Neutrosophictree-width
No full textGraph characteristics are often studied through various parameters, with ongoing research dedicated to exploring these aspects. Among these, graph width parameters—such as treewidth—are particularly important due to their practical applications in algorithms and real-world problems. A hypergraph generalizes traditional graph theory by abstracting and extending its concepts [77]. More recently, the concept of a SuperHyperGraph has been introduced as a further generalization of the hypergraph. Neutrosophic logic [133], a mathematical framework, extends classical and fuzzy logic by allowing the simultaneous consideration of truth, indeterminacy, and falsity within an interval. In this paper, we explore Superhypertree-width, Neutrosophic treewidth, and t-Neutrosophic tree-width
University English Writing Teaching Quality Evaluation Driven by Artificial Intelligence in the Context of New Liberal Arts: Linguistic Neutrosophic Multivalued Approach
No full textIdentifying Barriers to Bus Utilization Through a Multi-Layered Approach: Exploring Accessibility, Comfort, Safety, Security, and Fare Policy
No full textPublic transit systems are increasingly adopting various strategies to improve transportation efficiency, safety and accessibility in urban areas. However, despite the intended benefits, barriers to bus use persist. This dissertation investigates these barriers through a multilayered approach focusing on safety, fare policy, accessibility, security, and comfort. First it examines the traffic calming effects of Bus Rapid Transit (BRT) on a high speed, arterial corridor in Albuquerque, New Mexico. The findings indicate that BRT corridors can improve road safety by reducing motor vehicle speeds while also promoting multimodal transportation options. Second, the research evaluates the impact of fare-free transit policies on ridership, revealing that job accessibility plays a more significant role in influencing ridership than traditional socioeconomic factors such as income, education, and residential density. Lastly, this study develops user personas through survey-based clustering analysis and interviews to identify distinct transit user groups, their specific barriers to BRT use, and their unique transit needs. The findings suggest that targeted interventions, such as enhancing security measures, improving service reliability, and balancing fare policies, can help address the diverse needs of transit users