57 research outputs found
A Novel Decision-Making Approach under Complex Pythagorean Fuzzy Environment
No full textA complex Pythagorean fuzzy set (CPFS) is an extension of a Pythagorean fuzzy set that is used to handle the vagueness with the degrees whose ranges are enlarged from real to complex subset with unit disc. In this research study, we propose the innovative concept of complex Pythagorean fuzzy graphs (CPFGs). Further, we present the concepts of regular and edge regular graphs in a complex Pythagorean fuzzy environment. Moreover, we develop a complex Pythagorean fuzzy graph based multi-attribute decision making an approach to handling the situations in which the graphic structure of attributes is obscure. A numerical example concerning information technology improvement project selection is utilized to illustrate the availability of the developed approach
Energy of Pythagorean Fuzzy Graphs with Applications
No full textPythagorean fuzzy sets (PFSs), an extension of intuitionistic fuzzy sets (IFSs), inherit the duality property of IFSs and have a more powerful ability than IFSs to model the obscurity in practical decision-making problems. In this research study, we compute the energy and Laplacian energy of Pythagorean fuzzy graphs (PFGs) and Pythagorean fuzzy digraphs (PFDGs). Moreover, we derive the lower and upper bounds for the energy and Laplacian energy of PFGs. Finally, we present numerical examples, including the design of a satellite communication system and the evaluation of the schemes of reservoir operation to illustrate the applications of our proposed concepts in decision making
Impact of emotional intelligence on job satisfaction and psychological ownership among public and private employees: a case study of Multan city
No full textIMPACT OF EMOTIONAL INTELLIGENCE ON JOB SATISFACTION AND PSYCHOLOGICAL OWNERSHIP AMONG PUBLIC AND PRIVATE EMPLOYEES: A CASE STUDY OF MULTAN CITY
Impact of emotional intelligence on job satisfaction and psychological ownership among public and private employees: a case study of Multan city (-
Proactive Measures to Prevent the Future Pandemic
No full textThe COVID-19 pandemic has demonstrated that the world is vulnerable to infectious diseases that can cause significant economic, social, and public health impacts. While the scientific community has responded to the challenge, it also highlighted the need for better preparation and preventive measures.1 This editorial discusses the importance of controlling, preventing, and staying safe from the next pandemic and the role of research in achieving these goals.
The COVID-19 pandemic has shown that the impact of an infectious disease goes beyond health outcomes.2 The pandemic has disrupted global trade, travel, and economic activity, and has put pressure on public health systems worldwide.3,4 It has also highlighted the social and economic inequalities that exist in our societies and their impact on health outcomes.4 To prevent and control future pandemics, it is crucial to address these underlying issues.The research community has played a critical role in responding to the COVID-19 pandemic. Scientists have developed vaccines, treatments, and diagnostic tests at an unprecedented speed, and their research has informed public health policies and guidelines.5 However, research on infectious diseases cannot be limited to reactive responses; we need proactive research to anticipate and prevent future pandemics.6Top of Form
Prevention strategies should focus on identifying the root causes of pandemics, such as zoonotic diseases, and mitigating their impact.6 This requires interdisciplinary research involving public health, veterinary medicine, ecology, and social sciences.7,8 Research can help identify risk factors and transmission pathways, design surveillance systems, and develop early warning systems to detect and respond to outbreaks.7
Another critical area of research is the development of vaccines and treatments.8 While the scientific community has made significant progress in developing vaccines for COVID-19,9 we need to ensure that these developments are sustainable and accessible to all. Research can help to improve vaccine efficacy, identify new therapeutic targets, and develop manufacturing processes that can produce vaccines and treatments at scale.9-10
Research can also help to address the social and economic inequalities that make pandemics worse.5 Social determinants of health, such as poverty, lack of access to healthcare, and education, can increase the risk of infectious diseases and their impact.4 Research can help to identify these factors and design interventions that address them.
In conclusion, the COVID-19 pandemic has shown the importance of prevention and control measures for infectious diseases.2 Research has played a critical role in responding to the pandemic, but we need proactive research to prevent future pandemics. Research should focus on identifying the root causes of pandemics, developing vaccines and treatments, and addressing social and economic inequalities.1,5 We must continue to invest in research to ensure that we are prepared for the next pandemic
Responding to the Needs and Challenges of Arts Entrepreneurs: An Exploratory Study of Arts Entrepreneurship in North Carolina Higher Education
No full textabstract: To address the call for examination of academic and professional approaches to arts entrepreneurship, we summarize the academic arts entrepreneurship programs in the State of North Carolina and conduct a pilot study with data gathered from arts entrepreneurs who attended the 5th annual Southern Entrepreneurship in the Arts Conference in Greensboro, North Carolina. Our review of the descriptive data reveals that arts entrepreneurs face a variety of needs and challenges, which are psychological (e.g., peer support) as well as technical (e.g., start-up skills). These findings suggest that, as prior literature stresses, arts entrepreneurship education programs should entail both the “entrepreneurship mindset” aspect and the “venture creation” aspect, so we advocate a holistic approach that combines both these perspectives with other related courses. We conclude, based on our exploratory study, that collaborative and flexible approaches, such as cross-campus programs for arts entrepreneurship education in higher education, could have beneficial outcomes for art entrepreneurs. Implications for future research are discussed
No Return Ticket: CBSA Deportation in Canada
No full textViewed through the theoretical lens of securitization theory & moral regulation, this thesis examines deportation and detainment in Canada across CBSA jurisdictional regions. Furthermore, this thesis attempted to explain how deportation and detainment trends changed since 2005, and what may be possible causes. Being a descriptive analysis study, this thesis utilizes a documentary research methodology to gather data, while using current literature to explain border security and deportation in Canada—bolstering results from the analysis on deportation and detainment statistics. The findings from the results ultimately provide new insight for CBSA, as well as for future research into the efficacy of operations of CBSA and the status quo on border security.
Findings from this thesis show deportation rates, across the majority of CBSA jurisdictional regions, have been steadily declining since 2005. Furthermore, it was found as deportation rates decline, average days detained and detention rates have increased nationally since 2005. Although this thesis was able to answer its research question in part, it was not able to answer any causes of change because of a lack of literature on the topic—which is a gap of knowledge future researchers can address
A Novel Approach to Decision-Making with Pythagorean Fuzzy Information
No full textA Pythagorean fuzzy set (PFS) is a powerful tool for depicting fuzziness and uncertainty. This model is more flexible and practical as compared to an intuitionistic fuzzy model. This paper proposes a new graph, called Pythagorean fuzzy graph (PFG). We investigate some properties of our proposed graphs. We determine the degree and total degree of a vertex of PFGs. Furthermore, we present the concept of Pythagorean fuzzy preference relations (PFPRs). In particular, we solve decision-making problems, including evaluation of hospitals, partner selection in supply chain management, and electronic learning main factors evaluation by using PFGs
Certain Notions of Energy in Single-Valued Neutrosophic Graphs
No full textA single-valued neutrosophic set is an instance of a neutrosophic set, which provides us an additional possibility to represent uncertainty, imprecise, incomplete and inconsistent information existing in real situations. In this research study, we present concepts of energy, Laplacian energy and signless Laplacian energy in single-valued neutrosophic graphs (SVNGs), describe some of their properties and develop relationship among them. We also consider practical examples to illustrate the applicability of the our proposed concepts
Generalization of Maximizing Deviation and TOPSIS Method for MADM in Simplified Neutrosophic Hesitant Fuzzy Environment
No full textWith the development of the social economy and enlarged volume of information, the application of multiple-attribute decision-making (MADM) has become increasingly complex, uncertain, and obscure. As a further generalization of hesitant fuzzy set (HFS), simplified neutrosophic hesitant fuzzy set (SNHFS) is an efficient tool to process the vague information and contains the ideas of a single-valued neutrosophic hesitant fuzzy set (SVNHFS) and an interval neutrosophic hesitant fuzzy set (INHFS). In this paper, we propose a decision-making approach based on the maximizing deviation method and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to solve the MADM problems, in which the attribute weight information is incomplete, and the decision information is expressed in simplified neutrosophic hesitant fuzzy elements. Firstly, we inaugurate an optimization model on the basis of maximizing deviation method, which is useful to determine the attribute weights. Secondly, using the idea of the TOPSIS, we determine the relative closeness coefficient of each alternative and based on which we rank the considered alternatives to select the optimal one(s). Finally, we use a numerical example to show the detailed implementation procedure and effectiveness of our method in solving MADM problems under simplified neutrosophic hesitant fuzzy environment
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