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Unsustainable: Amazon, Warehousing, and the Politics of Exploitation by Juliann Emmons Allison & Ellen Reese
04-03-25 HSC Committee Meeting Notice of Cancelation
04-03-25 HSC Committee Meeting Notice of Cancelatio
Group Decision-Making Model Based on Triangular Neutrosophic Sets for Service Quality Evaluation in Tourism Mobile E-Commerce
Triangular fuzzy numbers are frequently used by experts to assess their opinions in the group decision-making (GDM) paradigm. In this research, we used neutrosophic because preference connections with triangular fuzzy numbers are consistent. In GDM, it is crucial to consider the degree of consensus and the consistency of expert opinion. The idea of additive approximation consistency is put out for triangular neutrosophic Sets (TNSs) additive reciprocal matrices to differentiate the typical consistency. The GDM methodology is used to evaluate tourism mobile e-commerce services to select the best one. Two methods are used in this study such as SWARA is used to compute the criteria weights and the WASPAS method is used to rank the alternatives. 12 criteria and 7 alternatives are collected in this study to be evaluated. The results of the sensitivity analysis which is applied in this study show the stability of the rank of alternatives under different case
Expanded Triangular Fuzzy Neutrosophic Numbers for Safety Risk Evaluation of Urban Rail Transit Engineering: An Innovative Method for Better Risk Assessment
Safety assessment of urban rail transit (URT) operations plays a crucial role not only in shaping passenger travel choices but also in urban development planning. The findings of such assessments are valuable for both passengers and transport operators. In this study, we propose an integrated multi-stage evaluation framework to assess URT operations from a safety perspective. This framework considers decision-makers\u27 (DMs\u27) risk preferences and the uncertainty of available information. We employ two key methods: the CRITIC method to determine the weights of evaluation criteria and the MOORA method to rank the alternatives. Both methods operate within the framework of triangular fuzzy neutrosophic sets (TFNSs) to handle uncertainty and imprecise data. Our evaluation includes nine criteria and six alternatives, assessed by four experts and decision-makers. The results indicate that Structural Integrity is the most critical criterion, having the highest weight in the evaluation process
A Comparison between Euler\u27s Method and 4-th Order Runge- Kutta Method For Numerical Solutions of Neutrosophic and Dual Differential Problems
This paper is dedicated to study some numerical solutions of neutrosophic and dual differential problems through a numerical comparison between neutrosophic Euler\u27s method and 4-th order Runge-Kutta neutrosophic and dual method, where we apply both methods on the same problems and compare the numerical results of solutions and numerical estimations of errors by using numerical tables
An Analysis of Bipolar Trapezoidal Neutrosophic Sets (BTNSs) for Examining the Income-Increasing and Poverty-Reduction Effects of Ecological Compensation in the Huai River Basin of Anhui Province: A Comprehensive Study
This study proposes the decision-making approach for evaluation of ecological compensation in the Huai river basin of Anhui province. We used the neutrosophic sets to deal with the uncertainty information. In both the trapezoidal and bipolar neutrosophic environments, decision makers supply all the information needed to make decisions in complex multicriteria decision-making problems. This work suggests a novel, efficient method to handle these situations. We used two methods to evaluate the criteria and alternatives such as LMAW and MARCOS. We used the LMAW method to compute the criteria weights and the MARCOS method to rank the alternatives. Nine criteria and eleven alternatives are evaluated in this study. The sensitivity analysis is conducted to show the stability of the results. The outcomes show the rank of the alternative is stable
Risk Assessment of Municipal Water Supply and Drainage Project Costs Using Neutrosophic Numbers
Risk assessment of municipal water supply and drainage project costs is a multi-criteria decision making (MCDM) problem. Water supply and drainage have various conflict criteria. Two MCDM methods are used in this study such as SIWEC and MACONT. The SIWEC method is used to compute the criteria weights and the MACONT method is used to rank the alternatives. These methods are used under the trapezoidal fuzzy neutrosophic sets (TFNSs) to deal with uncertainty and vague information. Eight criteria and eleven alternatives ate used to evaluate the MCDM problem. The sensitivity analysis is conducted to show the stability of the ranks. The comparative analysis is performed to show the effectiveness of the proposed approac
Neutrosophic augmented Lagrange multipliers method Nonlinear Programming Problems Constrained by Inequalities
Operations research uses scientific methods that take the language of mathematics as a basis and uses the computer, without which it would not be possible to achieve numerical solutions to the problems raised. It is concerned with applying scientific methods to complex issues in the management and direction of large systems in various fields and private and governmental businesses in peace and war in politics, management, economics, planning and implementation and in all aspects of life. In issues that require sound solutions, when solutions are numerous and options are multiple, we need a decision based on sound scientific foundations that take into account all the circumstances and changes that the decision maker may face during the course of work, and help him make a decision that leaves nothing to chance or luck. For this reason, operations research has provided many methods that help us transform life issues into mathematical models whose optimal solution is the appropriate decision. The nonlinear programming method is one of the most important methods presented by operations research because most problems, when modeled, result in a nonlinear model, which prompted many students and researchers to search for appropriate scientific methods to solve these models. One of the most important and most widely used of these methods is the Lagrange multipliers method