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2023-2024 ASM BBA Assessment Plan
No full texthttps://digitalrepository.unm.edu/provost_assessment/4211/thumbnail.jp
Short note of supertree-width and n-Superhypertree-width
No full textThis paper investigates the properties of tree-width and related graph width parameters for n SuperHyperGraphs, a broader generalization of hypergraphs. By exploring concepts such as SuperHyperTree width and Hypertree-width, we aim to understand how these structures resemble tree-like formations. We also analyze the relevance of these width parameters in computational contexts, following extensive research in graph theory and hypergraph application
Modeling uncertainties associated with decision-making algorithms based on similarity measures of possibility belief interval-valued fuzzy hypersoft setting
No full textHypersoft sets (HSSs) were initiated as an extension of soft sets (SSs) to address real-life scenarios involving multiple disjoint sets with di erent traits. One such extension is the interval-valued fuzzy hypersoft set (IVFHSS), which has proven e ective in decision-making (DM). However, the IVFHSS model lacks a mech anism to incorporate the degree of acceptance of DM opinions, which is crucial for accurate decision-making. To overcome this limitation, our work aims to develop a novel hyperstructure called a possibility interval-valued fuzzy hypersoft set (PIVFHS-set). We begin by introducing essential operations and their properties, such as PIVFHS-subset, PIVFHS-null set, PIVFHS-absolute set, and complement of a PIVFHS-set. These concepts are illustrated through numerical examples to demonstrate their practical applications. Next, we delve into set-theoretic operations of PIVFHS sets, including union, intersection, AND, OR, and relevant laws. These op erations are further elucidated through numerical examples, matrix representations, and graphical illustrations. Additionally, we present two algorithms based on AND and OR operations, providing step-by-step explana tions and showcasing their e ectiveness through illustrative examples. Furthermore, we introduce a similarity measure to facilitate pattern recognition in PIVFHS-sets, aiding users in recruitment processes. Alongside an analytical study of the advantages and disadvantages of this model, we provide suggestions for future research based on the identi ed limitations
REGIME Framework for Performance Ability Evaluation of Excellent Football Players with Probabilistic Simplified Neutrosophic Sets
No full textThe evaluation of an excellent football player\u27s performance abilities involves assessing their overall capabilities based on in-game performance. Key evaluation dimensions include technical skills (such as passing, shooting, dribbling, etc.), tactical awareness, physical fitness, mental resilience, and teamwork. Through data analysis, video review, and coach feedback, the player\u27s impact and contribution to the game are comprehensively evaluated, helping to determine their actual level in matches and provide guidance for future development. The performance ability evaluation of excellent football players is multiple attribute decision-making (MADM). The REGIME proves to be an effective method for tackling MADM challenges. The Probabilistic Simplified Neutrosophic Sets (PSNSs) is particularly adept at handling the uncertainties inherent in the performance ability evaluation of excellent football players. In this research, the average technique is introduced to determine the weights of various attributes, and the Probabilistic Simplified Neutrosophic Number REGIME (PSNN-REGIME) method is advanced for MADM applications. To validate the effectiveness of the PSNN-REGIME method, a numerical case study involving the performance ability evaluation of excellent football players is conducted, complete with comparative analysis. This approach not only underscores the method\u27s applicability but also enhances the decision-making process in evaluating and improving the performance ability evaluation of excellent football players
Determinant Theory of Quadri-Partitioned Neutrosophic Fuzzy Matrices and its Application to Multi-Criteria Decision-Making Problems
No full textWe explore the determinant theory for Quadri-Partitioned Neutrosophic Fuzzy Matrices (QPNFMs), investigating det ( Padj P ( ) ) det ( ) P their = = det ( properties. adj P P ( ) ) . In this study, we establish that Additionally, we propose a refined method to compute the determinant of matrices with a higher number of rows and columns. Furthermore, an algorithm is developed to address decision-making problems based on QPNFMs. An illustrative example is provided to demonstrate the effectiveness of the proposed method
Intelligent Elderly Care: Practicing Ambiguity Neutrosophic Theory for Optimization Contemporary Machine Learning Techniques in Elderly Care
No full textOne of the biggest challenges facing healthcare systems throughout the world is the aging population. The growing number of elderly citizens in need of specialized care is severely straining the available resources and care methods. It is sometimes difficult for traditional care techniques to address the complex and varied requirements of this expanding population. To fix these challenges, inclusion of contemporary technology is imperative and pragmatic solutions such as Internet of Thing (IoT), cloud computing (CC), and artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL). Such AI has potential role to make elderly care services (ECSs) to be intelligent ECSs (IECSs) through providing proactivity and earlier detection based on smart IoT sensors. Therefore, this study seeks to achieve two objectives. Firstly, leveraging the capabilities of ML techniques to revolutionize care delivery to be intelligent, optimize resource allocation, and proactive. Secondly, evaluating the robustness of utilized ML techniques in serving study\u27s objectives. Accordingly, utilized ML Techniques consider alternatives (MLTs ) that evaluate based on CRiteria Importance Through Inter-criteria Correlation (CRITIC) to obtain weights for criteria which alternatives evaluated based on. These weights are leveraging in Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to rank MLTs alternatives. For bolstering the evaluation process, we are integrating uncertainty theory of Probabilistic Simplified Neutrosophic Set (PSNS) which effectively captures the inherent uncertainty and imprecisio
Enhanced Approach for Japanese Teaching Quality Evaluation in Higher Education under Plithogenic Sets
No full textJapanese language instruction has drawn more attention in the twenty-first century, a time of frequent international interactions and the rapid advancement of knowledge. Colleges and universities are now concentrating on raising the standard of Japanese education going forward as a result. To improve teaching quality, we must strengthen the entire management of teaching quality, particularly the evaluation of instructors\u27 instruction. However, it is challenging to translate the evaluation results into a mathematical analytical formula because there are several elements that affect the quality of instruction, and the weight of each factor changes. We proposed a multi-criteria decision making (MCDM) methodology for evaluation the Japanese teaching quality. We proposed the MCDM method under the Plithogenic sets to deal with vague and uncertainty information. We applied the steps of the MULTIMOORA method under the Plithogenic sets to rank the alternatives. This study collects seven criteria and eight alternatives to be ranked. The criteria weights are computed. The comparative analysis is performed to show the effectiveness of the proposed methodology compared with other MCDM methods. The results show the proposed methodology is effective
2023/2024 UNMV Elementary Ed AA Assessment
No full texthttps://digitalrepository.unm.edu/provost_assessment/4247/thumbnail.jp
2023/2024 UNMV Networking Cert Assessment
No full texthttps://digitalrepository.unm.edu/provost_assessment/4239/thumbnail.jp
2023/2024 UNMV Mathematics AS Assessment
No full texthttps://digitalrepository.unm.edu/provost_assessment/4237/thumbnail.jp