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Rethinking Reverse Logistics: Neutrosophic Strategies for Warehouse Management Challenges
No full textImplementing warehouse management platforms (WMPs) in Vietnam\u27s smart reverse logistics (SRL) sector faces numerous barriers, hindering operational efficiency and competitiveness. This study develops a robust multi-stage decision-making framework to identify, analyze, and address these barriers, filling a critical research gap in SRL practices. The proposed model integrates Neutrosophic Sets (NS) for managing uncertainties in expert evaluations with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to examine cause-and-effect relationships among barriers. Additionally, the Neutrosophic Combined Compromise Solution (NS COCOSO) method ranks solutions for overcoming these challenges. In the first stage, key barriers—such as insufficient strategic planning, lack of expertise in reverse logistics, inadequate performance metrics, and a shortage of skilled personnel—are identified through an extensive literature review and expert validation using the NS Delphi technique. The second stage applies NS DEMATEL to analyze the interdependencies and significance of these barriers. The final stage prioritizes solutions to mitigate these challenges using NS COCOSO. This integrated approach provides three key contributions: (i) a systematic exploration of inter-barrier relationships, (ii) an advanced mechanism for addressing uncertainties in expert judgments, and (iii) a comprehensive ranking of actionable strategies for stakeholders. The findings underscore the need for long-term strategic planning, regulatory alignment, and the adoption of cutting-edge technologies to enhance WMP implementation in SRL. Sensitivity analyses validate the model’s robustness, and comparative assessments demonstrate its superiority over traditional methods. This study offers a novel and practical decision-support framework for logistics firms, policymakers, and stakeholders to drive sustainable advancements in reverse logistics
High-Quality Development Evaluation of Cultural and Tourism Integration Empowered by the Digital Economy under Double Valued Neutrosophic Sets
No full textThis study proposed a decision-making approach to evaluate the cultural and tourism integration empowered by the digital economy. Two methods are used in this study, such as Entropy method to compute the criteria weights and the MABAC method to rank the alternatives. These methods are used under the neutrosophic sets. Neutrosophic sets (NSs) are used to represent ambiguous, inconsistent, and unpredictable data that arise in practical issues. Indeterminacy leaning toward truth membership and indeterminacy leaning toward falsity membership are two separate components of double-valued neutrosophic sets (DVNSs), a variant of NSs. Three experts have evaluated the criteria and alternatives. Ten criteria and six alternatives are used in this study. We show the Digital Infrastructure criterion has the highest weight
A Neutrosophic Model for Assessing the Impact of Artificial Intelligence on Civil Liability
No full textThe creation of Artificial Intelligence (AI) tools has grown exponentially in recent years. The number of these tools, their capabilities to solve problems and the number of people who use them are increasing rapidly. This constitutes a positive advance for humanity; however, there is also a negative side that can arise from its inappropriate use. To avoid the problems that may arise with the improper use of AI, it is necessary to have a regulatory legal framework that offers the guidelines to follow for evaluating the AI tools that arise and the civil and criminal consequences for those who fail to comply with what is established. This is an extremely complex problem since AI is constantly changing at a faster pace than lawyers understand the subject and the changes in the laws that must be applied. In our case, Ecuadorian legislation is not sufficiently prepared to face the problem, there is indeterminacy that manifests itself in the legal loopholes where some individuals can get away with it or be unfairly convicted. This paper proposes a model to help calculate the impact of AI on civil liability, especially in the legal system. Neutrosophic logic and other tools from this discipline are specifically used because they allow the explicit representation and calculation of the indeterminacy that is part of this problem that occurs in real life
Neutrosophic Sets and Systems: A Decade of Scientific Contribution and Growth
No full textNeutrosophic Sets and Systems (NSS) has become an important Journal for neutrosophic theory and its applications in uncertainty modeling and decision sciences. In 2023, NSS celebrated its 10th anniversary, marking a decade of contributions to scientific literature. Motivated by this event, this paper provides a critical bibliometric analysis of NSS’s evolution as a leading academic journal in neutrosophy. This study explores the publication trends, citation impact, most productive authors, institutions, and global collaboration networks of NSS. The study maps bibliographic coupling, keyword co-occurrence and co-citation analysis using data from the Scopus database, secondary search using NSS webpage, and visualization tools like the VOSviewer. The findings identify Neutrosophic Sets, Decision-Making, and Fuzzy Sets as the most frequently studied keywords that highlight the increasing integration of neutrosophic approaches into multi-criteria decision-making (MCDM) and soft computing. The results indicate the most significant areas of research that are topology, soft set theory, hypersoft sets, and uncertainty modeling. The findings highlight the NSS increasing international collaboration, with contributions from America, Middle East, and Asia. Additionally, the analysis explores NSS’s alignment with sustainable development goals (SDGs), revealing notable contributions to good health and well-being (SDG 3), quality education (SDG 4), and peace, justice, and strong institutions (SDG 16). These contributions highlight how neutrosophic sets and systems is valuable across many researchers, from public health to governance to education. Overall, this paper serves as a fundamental study for researchers looking to explore emerging trends and novel applications of neutrosophic theories across diverse scientific and practical domains
Solving a Global-Mixed Integer Signomial Geometric Fractional Programming Problem
No full textThis article addresses mixed integer fractional signomial geometric programming (MIFSGP) problems, which have been widely used in industrial design. In this paper, first, we convert fractional signomial programming into a nonfractional problem so that it maintains its geometric structure. Then, convex relaxation is used to reach a mixed integer global solution. Although, in many cases, we obtain a better objective function value with this process, designers may still be dissatisfied with the rupture between the original objective function value and the relaxed value. Therefore, we apply a spatial branch and bound algorithm to decrease that distance to an acceptable extent and maintain the global solution. Finally, a real design problem is considered to evaluate the efficiency and accuracy of the proposed technique
A Concise Formalization of Hyperrealism-Antirealism in Physics Using Neutrosophic Logic
No full textIn [6], the relationship between hyperrealism and antirealism in physics is proposed. Hyperrealism Antirealism describes a spectrum where theories transition from being empirically grounded (realist) to speculative frameworks dominated by untestable assumptions, thereby detaching from observable reality. This paper presents a concise mathematical formalization of the spectrum of hyperrealism-antirealism in theoretical physics and the philosophy of science. We propose a method to quantify the extent to which a theory is “hyperreal” or “antirealist” using a ratio of testable to untestable statements. Additionally, we provide several theorems that outline the conditions under which theories shift into hyperreal or antirealist domains. Finally, we explore how Neutrosophic Logic [38] can capture intermediate degrees between realism and antirealism, offering a nuanced perspective on the spectru
Prioritization of Higher Education Management Strategies Based on the Neutrosophic Uncertainty Model for Sustainability
No full textThis study proposes the multi-criteria decision-making methodology (MCDM) to rank the strategies of higher education management. We used the neutrosophic sets to deal with uncertain information in the MCDM solutions. We used two MCDM methods in this study such as CRiteria Importance Through Intercriteria Correlation (CRITIC) and alternative ranking order method accounting for two-step normalization (AROMAN). The CRITIC method is used to compute the criteria weights and the AROMAN method is used to rank the alternatives. We use the Trapezoidal Neutrosophic Z-Number (TNZN) which is an extension of the neutrosophic set to deal with vague data. This study uses nine criteria and ten alternatives to rank the strategies of higher education management. An empirical application is conducted to show the effectiveness of the proposed approach. We conducted the sensitivity analysis with two cases to show the different ranks of the alternatives. The results show the rank of alternatives is stable under different cases
