Digital Commons Network^™

Generalized Symmetric Fermatean Neutrosophic Fuzzy Matrices, M. Anandhkumar, A. Bobin, S. M. Chithra, V. Kamalakannan

Neutrosophic Sets and Systems

This study explores a new type of matrix called a range-symmetric Fermatean neutrosophic fuzzy matrix (FNFM), inspired by the concept of range-Hermitian matrices. We demonstrate that all FNFMs inherently possess a specific property we term "Pythagorean neutrosophic fuzzy," (PNFM) but the reverse is not always true. Furthermore, we delve into graphical representations of FNFMs with specific symmetry properties (kernel-symmetric (KS), column symmetric, and range-symmetric (RS)) and show that these properties hold for all isomorphic graphs. The study goes on to establish equivalent characterizations for range-symmetric FNFMs and identify conditions for KS FNFMs. We introduce a novel concept: k-KS and RS …

Magdm Technique Based On Linguistic Neutrosophic Tangent Dombi Aggregation Operators And Its Application In Selecting New Energy Design Schemes, Lu Niu, Jun Ye

Neutrosophic Sets and Systems

In linguistic decision theory, multi-attribute group decision-making (MAGDM) of linguistic neutrosophic numbers (LNNs) is one of the crucial research topics. Existing LNN aggregation algorithms do not consider trigonometric periodicity. In this case, they cannot perform MAGDM problems including periodic/multitemporal applications in LNN scenarios. To fill this gap, this article aims to present a MAGDM technique using the LNN tangent Dombi aggregation operators (TDAOs) for addressing MAGDM issues including multitemporal/periodic applications in LNN scenarios. First, we present the linguistic tangent Dombi t-norm and t-conorm and the LNN tangent Dombi operation laws. Second, we propose the LNN tangent Dombi weighted average and …

Neutrosophic Regular Rings And Properties Of Their Ideals, Murhaf Riad Alabdullah

Neutrosophic Sets and Systems

The goal of the research is to discover the required and sufficient conditions for ��(��) to be a neutrosophic regular as well as the properties of the neutrosophic ideals in the neutrosophic regular ring. Despite differences in the form of the elements and ideals in neutrosophic and classical rings, we discovered that the necessary and sufficient requirements for the classical ring to be regular also apply to neutrosophic rings.

Developing Neutrosophic Cubic Spherical Fuzzy Sets Along With Their Exponential Aggregation Operators For Decision-Making Problems, Monika Yadav, Rakesh Kumar Bajaj, Aman Sharma

Neutrosophic Sets and Systems

In this article, we have devised the notion of neutrosophic cubic spherical fuzzy sets (NCSFSs) for the first time and discussed their basic binary operations along with important properties. This proposition has been framed superimposing the existing notions of spherical neutrosophic set (SNS) as well as the interval-valued neutrosophic spherical fuzzy set (IVNSFS). This proposition computationally helps in handling incompatible situations where each element has been addressed by truth, indeterminacy, and false membership values. Next, some important exponential operational laws have been relationally established for NCSFSs, highlighting their significant properties. Furthermore, to address decision-making challenges in the NCSFS environment, we …

Harmonic Mean Operator Based Madm-Strategy Under Svpn-Set Environment, Bimal Shil, Suman Das, Rakhal Das, Binod Chandra Tripathy

Neutrosophic Sets and Systems

By using single-valued pentapartitioned neutrosophic set (briefly SVPN-set), one can express uncertainty events having incomplete, indeterminate, and erroneous information in practical applications. This study's primary goal is to present a multi-attribute decision-making (briefly MADM) algorithm that operates in the SVPN-set environment using the notion of single-valued pentapartitioned neutrosophic harmonic mean (briefly SVPNHM) operator and single-valued pentapartitioned neutrosophic weighted harmonic mean (briefly SVPNWHM) operator. Further, we provide a numerical illustration here like, “Location Selection for Installation of Outdoor Air Purifier” to validate the effectiveness and rationality of the proposed MADM algorithm.

New Neutrosophic Sentiment Analysis Method Based On Neutroalgebra For The Evaluation Of Ethics In Companies, Lilia Esther Valencia Cruzaty, Adriana Mercedes Ruiz Reynoso, Blanca Estela Hernández Boni-Lla

Neutrosophic Sets and Systems

Ethics is a discipline that has broken the limits of its field of study, which is related to having the right behavior towards other people, but also to respect nature and life. This has been extended to the accounting and organizational management of companies. This paper proposes a sentiment analysis method based on the NeutroGroup obtained from offuninorms defined by the combining functions in Prospector. The advantage of the proposed method is that in addition to "like" and "dislike", we obtain a result of indeterminacy that can be due either to neutrality or to a contradiction in the short informal …

A New Development Of Entropy And Similarity Measures In Temporal Complex Neutrosophic Environments For Tourist Destination Selection, Luong Thi Hong Lan, Nguyen Tho Thong, Nguyen Long Giang, Florentin Smarandache

Neutrosophic Sets and Systems

In human existence, making decisions is a common event. Various techniques have been devised to tackle decision-making troubles in practical situations. Over the past ten years, a great deal of study has concentrated on quantifying the degree of ambiguity and unpredictability in knowledge using the concept of neutrosophic sets or extensions thereof. An efficient framework for handling information in decision-making problems involving uncertain, indeterminate, and time-related aspects is the Temporal Complex Neurosophic Set (TCNS). Measures of entropy and similarity can be helpful for evaluating data to solve multicriteria decisionmaking (MCDM) challenges in practical situations. However, TCNS information measurements were of …

Statistical Convergence Sequences In Neutrosophic Metric Spaces, J. Johnsy, M. Jeyaraman

Neutrosophic Sets and Systems

In this study, motivated by the notion of statistical convergence in intuitionistic fuzzy metric space, we present the ideas of statistical convergence and cauchy sequences with regard to the neutrosophic metric spaces. This study also discusses the statistical completeness on neutrosophic metric space with an example and results.

Total Domination In Uniform Single Valued Neutrosophic Graph, T. P. Sreelakshmi, K. Uma Samundesvari

Neutrosophic Sets and Systems

In graph theory, the neutrosophic graph is a new extension of the intuitionistic fuzzy graph and fuzzy graph. It offers greater accuracy and flexibility in scheduling and implementing numerous real-life issues. The introduction of neutrosophic graphs has opened up an excellent opportunity to portray real-world situations with incomplete and ambiguous information. These neutrosophic graph models are used in many industrial and scientific domains to simulate various problems. This article offers a new approach for calculating the total dominating set of a given single-valued neutrosophic graph using neutrosophic strong arcs. An example is illustrated for calculating the total dominating sets of …

Kalman Bucy Filtered Neuro Fuzzy Image Denoising For Medical Image Processing, Mohanapriya G., Muthukumar S., Santhosh Kumar S., Shanmugapriya M. M.

Neutrosophic Sets and Systems

Neutrosophic sets (NS) have referred to as interval fuzzy sets applied in minimizing the uncertainty and fuzziness in computer-vision and machine-learning communities and hence employed for several applications. As far as medical image processing applications are concerned NSs are obtained as an important technique for de-noising. Also, fuzzy segmentation with machine and deep learning is determined as a familiar procedure that splits input image into distinct regions for precise learning. Several research works conducted in different image-processing domains. However, less works was focused on denoising and segmentation of medical image processing with minimal time complexity and accuracy. In this work …

Identification Of Most Impact Factors Of Cibil Score Using Fermatean Neutrosophic Dombi Fuzzy Graphs, P. Chellamani, R. Sundareswaran, M. Shamugapriya, Said Broumi

Neutrosophic Sets and Systems

Graph theory plays a vital role in modeling real-world scenarios like network security and expert systems. Various extensions of graph theoretical conceptions have been designed for addressing uncertainty in graphical network scenarios. The concept of Fermatean Neutrosophic Dombi Fuzzy Graphs (FNDFgraphs) represents a novel and innovative extension in graph theory, combining the principles of Fermatean Neutrosophic fuzzy graphs and the Dombi operator. FNDFGs enhances the representation and analysis of uncertain rela- tionships in a graph also it o ers a more comprehensive and exible approach to modeling uncertainty in graph structures. The main objective of this present research study focused …

Operations With N-Refined Literal Neutrosophic Numbers Using The Identification Method And The N-Refined Ah-Isometry, Florentin Smarandache, Mohammad Abobala

Neutrosophic Sets and Systems

If we know the determinate and sub-indeterminate part(s) of an argument a0  a1I1  a2I2 ... anIn how do we similarly find the determinate and sub-indeterminate part(s) of a function (or operation) of this argument 0 1 1 2 2 ( ... )? n n f a  a I  a I   a I The AH-Isometry is designed to do just that. The function f may be of one or more variables (arguments), it may also be some unary or n-ary operation. Real examples are presented in this paper of such arguments and functions. We now …

On The Solutions Of Some Different Types Of Two-Fold Fuzzy And Neutrosophic Differential Equations, Nawar Hazim Mohammed

Neutrosophic Sets and Systems

This paper is dedicated to studying for the first time the concept of two-fold differential equations of different orders and different types, where we present the solutions for twofold fuzzy differential equations, and for two-fold neutrosophic differential equations. Also, we illustrate many numerical examples to clarify and explain the novelty of this work.

Analyzing Interdisciplinary Education In General Medicine Using Smarandache's Multivalued Logic Hypothesis Theory And Plithogenic Probability, Dolores Hernandez De La Cantera, Rosangela Caicedo Quiroz, Mairim Lago Queija, Jeanntte Rodriguez Gonzalez, Maikel Y. Leyva Vazquez

Neutrosophic Sets and Systems

Smarandache extended the concept of falsifiability to include hypotheses that involve multiple values. Smarandache's extension of classical logic introduces Partial Falsifiability within multi-valued logic, which allows for the inclusion of partial truth values, uncertainties, and false values, unlike traditional falsifiability which only classifies hypotheses as completely true or false. Using this approach this study investigates specifically the concept of interdisciplinarity in the field of integral general medicine, with a specific emphasis on the integration of nursing procedures. The method employs sentiment analysis of scientific questions using the Consensus tool and plithogenic statistics to assess complex hypotheses. The findings indicate that …

Assessment Of Three Strategies For Teaching An Ai Literacy Program, Based On A Neutrosophic 2-Tuple Linguistic Mod-El Hybridized With The Aras Method, Víctor Gustavo Gómez-Rodríguez, Raidell Avello-Martínez, Tomasz Gajderowicz, Noemí Bá-Rbara Delgado Álvarez, Johanna Irene Escobar Jara, Noel Batista Hernández, Segress García Hevia, Daniel D. Iturburu Salvador

Neutrosophic Sets and Systems

This study analyzes some general Artificial Intelligence competency frameworks, aimed at teachers, and it proposes a comprehensive Artificial Intelligence literacy training program, designed to develop in university teachers the necessary skills to integrate Artificial Intelligence into their curricula and research. Through a mixed theoretical-practical approach, the program addresses the gaps identified in the existing literature. The program covers the foundations of Artificial Intelligence to its specific application in teaching, highlighting ethical aspects, critical thinking, and its integration into pedagogy. Based on frameworks such as DigiComEdu, the program is presented as a strategic response to empower teachers, ensuring their preparation to …

Neutrosophic Sets And Systems, Vol. 70,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

the whole volume

Overview On The Most Common Microbial Causative Agents Of Diarrhea, Wafaa Ayad Al-Nuaimy, Dhay A. Azeez

Muthanna Medical Journal

In all parts of the world and among all age groups, diarrhea is a significant cause of morbidity and mortality. However, compared to high-income countries, low-income countries have fewer resources and a less resilient infrastructure, which makes them more susceptible to an unfair share of diarrheal morbidity and mortality. The word "diarrhea" originates from the Greek word "dia rEo," referring to "flow through." When the volume of colonic fluid crosses this segment's absorptive capacity due to decreased absorption and/or increased secretion, diarrhea achievements. In infectious diarrheas, the abnormal function is brought about by microorganisms that colonize the intestinal mucosa and …

Causvsr: Causality Inspired Visual Sentiment Recognition, Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Jing Xiang, Chunwei Wu, Guitao Cao

Research Collection School Of Computing and Information Systems

Visual Sentiment Recognition (VSR) is an evolving field that aims to detect emotional tendencieswithin visual content. Despite its growing significance, detecting emotions depicted in visual content,such as images, faces challenges, notably the emergence of misleading or spurious correlationsof the contextual information. In response to these challenges, we propose a causality inspired VSRapproach, called CausVSR. CausVSR is rooted in the fundamental principles of Emotional Causalitytheory, mimicking the human process from receiving emotional stimuli to deriving emotional states.CausVSR takes a deliberate stride toward conquering the VSR challenges. It harnesses the power of astructural causal model, intricately designed to encapsulate the dynamic causal …

Prompt Tuning On Graph-Augmented Low-Resource Text Classification, Zhihao Wen, Yuan Fang

Research Collection School Of Computing and Information Systems

Text classification is a fundamental problem in information retrieval with many real-world applications, such as predicting the topics of online articles and the categories of e-commerce product descriptions. However, low-resource text classification, with no or few labeled samples, presents a serious concern for supervised learning. Meanwhile, many text data are inherently grounded on a network structure, such as a hyperlink/citation network for online articles, and a user-item purchase network for e-commerce products. These graph structures capture rich semantic relationships, which can potentially augment low-resource text classification. In this paper, we propose a novel model called Graph-Grounded Pre-training and Prompting (G2P2) …

Factors Impacting Users’ Willingness To Adopt And Utilize The Metaverse In Education: A Systematic Review, Mousa Al-Kfairy, Soha Ahmed, Ashraf Khalil

All Works

Purpose: This study explores the factors influencing the adoption and acceptance of Metaverse technologies in educational settings. Despite the growing interest in immersive educational environments provided by the Metaverse, there is a lack of comprehensive understanding regarding the elements that affect user engagement and acceptance. This paper aims to bridge this gap through a systematic review of empirical studies that apply Information Systems theories such as TAM, UTAUT, TPB, and their extensions. Methods: A total of 35 empirical studies were analyzed using a methodical review approach. The research methodologies employed in these studies include surveys, structural equation modeling, and interviews, …

Integrating Building Information Modelling And Extended Reality In The Transportation Infrastructure Industry, Yosra El Maghraby, Shady Salem, Ahmed Alhady, Yasser Khodeir

Civil Engineering

No abstract provided.

Beyond Automation: Ai As A Catalyst For New Job Creation In Software Development, Jill Willard, James Hutson

Faculty Scholarship

As artificial intelligence (AI) continues to evolve, its impact on software development and programming is profound, drawing parallels to the shift from assembler to object-oriented programming. This article explores how AI is reshaping the landscape of software jobs, creating new opportunities rather than diminishing them. By simplifying complex tasks and lowering barriers to coding, AI is expanding the technology "pie," introducing new use cases, and enhancing efficiency. The transition from monolithic services to microservices has reduced risks and accelerated deployment processes, and AI is poised to further this evolution by managing the complexities of service interactions through advanced orchestration layers. …

Developing And Validating A Measure For Recovery Motives, Julia Anglin

Masters Theses and Doctoral Dissertations

“Workplace Recovery” refers to the replenishment of workers' energetic resources which is an important process for bettering workers’ personal lives and their organization. Regularly engaging in workplace recovery has significant benefits for work and home domains. Yet, there has been little to no research on what motivates employees on an individual level to participate in recovery behaviors. The present study identified individual motivations to engage in recovery through interviews. Responses were used to create a Motives for Recovery scale which was then validated in a survey study. Three common motivational themes were identified; self-regulation, social and personal development, and externally …

The Impact Of Teaching Residency Programs On Burnout In Urban Schools, Jessica Ghazi

Masters Theses and Doctoral Dissertations

This doctoral research investigates burnout of urban educators in a large southeastern district for a mixed methods study. Research questions one and two investigate demographic and organizational variables to determine if they are predictors of burnout or any of the three subcomponents, respectively. In research question three, teaching residencies were explored to determine if they provide appropriate preparation for teaching in urban schools which can limit burnout of educators. Variable data was collected through surveys and analyzed quantitatively of a sample of 69 urban teachers across 12 schools. For research question four, a subsample of teachers participated in focus groups …

College Students' Perceptions Of Malingering Attention Deficit Hyperactivity Disorder, Nicolas Maynard

Masters Theses and Doctoral Dissertations

This study assessed college students’ knowledge and perceptions of attention deficit hyperactivity disorder (ADHD) to help identify patterns of behavior in those who malinger ADHD in a college environment. Specifically, I sought to determine what behaviors college students attribute to ADHD and how those behaviors are demonstrated when malingering the disorder. Participants in this study were neurotypical college students and those with a valid ADHD diagnosis. Half of the neurotypical participants were instructed to malinger ADHD on all study assessments. Participants who were instructed to malinger ADHD subjectively reported significantly more symptoms than their neurotypical peers, but not their valid …

Investigation Of The Pangas (Pangasianodon Hypophthalmus) Cultivation Sustainability In Cages At The Ratargul Freshwater Swamp Forest Of Bangladesh, Mrityunjoy Kunda, Md. Abu Kawsar, Diponkor Adikari, Sakib Tahmid Rishan, Ahmed Harun-Al-Rashid, Debasish Pandit

School of Integrative Biological & Chemical Sciences Faculty Publications

Determining the most appropriate stocking density for a specific fish species in an ambient condition is essential for successful cage aquaculture in terms of profitability which is mainly governed by growth. The current study was conducted to ascertain which stocking density gives the best result of widely cultured species in cage aquaculture, pangas (Pangasianodon hypophthalmus), at swamp forest environment of Ratargul Freshwater Swamp Forest, Bangladesh in terms of growth, production and economic return. Fish were reared for 93 days at three stocking densities, namely 30, 40 and 50 fish/m3 which were denoted as FSD30, FSD40 and FSD50, respectively, …

Shared Shame And Affect In Nella Larsen's Passing, Claudia Ludwick

All Theses

This project focuses on the negative affect of shame in Nella Larsen’s 1920s American novel, Passing. While shame is a universal feeling everyone feels, the project argues that Larsen’s two main characters, Irene Redfield and Clare Kendry, feel a specific type of invisible shame that pulls on them differently. For Irene, this shame is reactive and aggressive, but for Clare, this shame is passive and often ignored. The project details where and how the shame manifests for each character, particularly focusing on how shame can be seen visibly and invisibly in and on the body. Because no other character recognizes …

Aboveground Biomass Estimation Of Pastures Using Field Robotics, Jasanmol Singh

All Theses

Pastures cover a major part of the agricultural land in the United States. These prominent land covers need finer maintenance to boost biomass production and optimize consumption. A vital factor in this process is the precise knowledge of the forage availability. This study focused on the development of sensor-based systems for estimating the aboveground biomass in pastures. The study was conducted on Alfalfa and Bermudagrass, which are the widely grown legumes and grasses in the country for grazing and hay production. This study compared the performance of five different crop height measurement systems and a vegetation coverage measurement system for …

Venom Complexity Within Garter Snakes And The Role Of Diet In Toxin Diversification, Tucker Heptinstall

All Theses

Complex traits, such as body size and venom, are often under strong selection by

dietary ecology and can increase efficiency of prey capture and processing. To investigate relationships between ecology and trait evolution in Thamnophis, we amassed nearly 10,000 diet records for 32/35 Thamnophis species and classified each species’ dietary repertoire. We categorized 15/32 species as generalist predators and 17/32 species as specialist predators of varying prey groups and investigated the hypothesis that generalist predators have larger body size. However, we found no significant relationship between body size and dietary specialization. Venom has evolved over 100 times across the Tree …

Caught On Camera: Evaluating Wood Duck (Aix Sponsa) Cavity Occurrence And Trapping Efficiency, Cindy L. Von Haugg

All Theses

Wood ducks (Aix sponsa) garner significant ecologic and economic importance as the second most harvested waterfowl species in two of the four migratory flyways in North America, but the accuracy of population monitoring, relative to other duck species, is stifled by the wood duck’s secretive nature and nesting habitat. As an alternate, population models would improve current assessments, but more data on the demographic vital rates of cavity-nesting wood ducks is needed. I aimed to help bridge this knowledge gap by developing a method to increase data collection efficiency, and with it, accomplish two objectives: 1) Calculate the relative abundance …