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Neutrosophic Laplace Distribution with Properties and Applications in Decision Making

This paper introduces the concept of the neutrosophic Laplace distribution ( ), a probability distribution derived from the Laplace distribution. The  offers a versatile framework for describing various real-world problems. We highlight the neutrosophic extension of the Laplace distribution and explore its applications in different areas. Extensive investigations into the mathematical properties of the distribution are presented, including the derivation of its probability density function, mean, variance, raw moment, skewness, and kurtosis. To estimate the parameters of the , we employ the method of maximum likelihood (ML) estimation within a neutrosophic environment. Furthermore, we conduct a simulation study to assess the effectiveness of the maximum likelihood approach in estimating the parameters of this new distribution. The findings demonstrate the potential of the  in modeling and analyzing real-world phenomena. Eventually, some illustrative examples related to system reliability are provided to clarify further the implementation of the neutrosophic probabilistic model in real-world problems.

groups
Ahmedia Musa M. Ibrahim mail -
Zahid Khan mail
link https://doi.org/10.54216/IJNS.230106

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

Neutrosophic Structure of the Log-logistic Model with Applications to Medical Data

In practical scenarios, it is common to encounter fuzzy data that contains numerous imprecise observations. The uncertainty associated with this type of data often leads to the use of interval statistical measures and the proposal of neutrosophic versions of probability distributions to better handle such data. This study introduces a new generalized design of the log-logistic distribution within a neutrosophic framework, building upon encouraging applications of this distribution in fields such as economics, engineering, survival analysis, and lifetime modeling. The proposed neutrosophic log-logistic distribution (NLLD) is analyzed in terms of statistical properties, including moments, shape coefficients, and various survival characteristics. To evaluate the performance of the predicted neutrosophic parameters, an estimation procedure is conducted. Finally, the practical application of the proposed model is demonstrated using a sample dataset consisting of 128 bladder cancer patients.

groups
Hassabelrasul Y. A. Shihabeldeen mail -
Zahid Khan mail
link https://doi.org/10.54216/IJNS.230107

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

Neutrosophic Treatment of Duality Linear Models and the Binary Simplex Algorithm

One of the most important theories in linear programming is the dualistic theory and its basic idea is that for every linear model has dual linear model, so that solving the original linear model gives a solution to the dual model. Therefore, when we solving the linear programming model, we actually obtain solutions for two linear models. In this research, we present a study of the models. The neutrosophic dual and the binary simplex algorithm, which works to find the optimal solution for the original and dual models at the same time. The importance of this algorithm is evident in that it is relied upon in several operations research topics, such as integer programming algorithms, some nonlinear programming algorithms, and sensitivity analysis in linear programming...

groups
Maissam Jdid mail -
Florentin Smarandache mail
link https://doi.org/10.54216/PAMDA.020202

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

Some properties of neutrosophic nil radicals of neutrosophic ideals in rings

In this paper, we consider the notion of neutrosophic nil radicals of neutrosophic ideals in commutative rings and some properties of such nil radicals. Finally, we study the properties of semiprime neutrosophic ideals of rings.

groups
A. Priya mail -
P. Maragatha Meenakshi mail -
Aiyared Iampan mail -
N. Rajesh mail
link https://doi.org/10.54216/IJNS.230108

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

An Efficient Hybrid Optimizer for Resource Reuse in a Cloud Environment

In a cloud context, merging complimentary numerous virtual machines (VMs) on an existing physical machine (PM) is the primary method for optimizing physical resources. One well-known area of research concentrates on making better use of VM migration resources when taking into account the dynamically changing resource demands of VMs. Finding the ideal balance between the complexity and performance of the VM migration optimization is the problem here. On the one hand, effective resource reuse is achieved through VM migration planning, and on the other, VM migration frequency is decreased to improve migration efficiency. On the other hand, a cloud data centre’s enormous PM and VM population typically makes migration planning more challenging, which impedes the VM migration decision-making process. By reducing the number of VM migration options to make VM migration planning easier and address these issues, this study recommend a hybrid Ant Colony and Genetic Algorithm (AGO) resource pool architecture. Then, establishing this model as a base, we develop the hybrid resource-reuse optimization method, which maximizes resource utilization with a minimal number of VM migrations. Finally, we evaluate hybrid AGO using simulation testing and real-world trials on a working cloud platform. Compared to similar methods, the findings show that hybrid AGO increases average resource utilization by 15%, reduces the use of PMs by 15%, and decreases the average number of migrations by 30%.

groups
V. S. Lavanya mail -
D. Mythrayee mail
link https://doi.org/10.54216/FPA.140107

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

Properties of Fuzzy Semi-Open Sets with Regards to Fuzzy Ideals

This paper introduces a broadened concept of fuzzy semi-open sets by framing them in the context of fuzzy ideals. Where many of their elementary properties will be presented in terms of theorems and lemmas. Also, many related examples about the validity of semi-open sets and their relationships with fuzzy ideals will be provided and discussed.

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Hassan A. Al-Hadi Ahmed mail
link https://doi.org/10.54216/IJNS.220411

Volume & Issue

Vol. Volume 22 / Iss. Issue 4

Details open_in_new

Some Properties of Fuzzy Semi-Open Sets in Fuzzy Bi-Spaces

The idea of fuzzy “semi-open sets” within the framework of fuzzy fields was proposed in the theory of fuzzy topology. This investigation delves deeper into the concept, specifically examining fuzzy “semi-open sets” concerning ω̃1 (ω̃2) with respect to ω̃2 (ω̃1). Additionally, we explore pairs of fuzzy “semi-open sets” in the context of a fuzzy bi-space and analyse their implications on results applicable in bi-topological spaces.

groups
Hassan A. Al-Hadi Ahmed mail
link https://doi.org/10.54216/IJNS.230109

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

Assessment of Sintering Flue Gas Management Using Multi-Criteria Decision-Making Methodology

To evaluate and promote ecologically responsible practices in the sintering business, conducting a sustainability evaluation of sintering flue gas is essential. An important step in making iron and steel, sintering releases flue gas emissions that, if not controlled, may harm the environment. Reducing emissions, improving energy efficiency, managing waste, using water, utilizing resources, monitoring community effects, complying with regulations, conducting a life cycle assessment, and continuously improving are all part of the assessment's extensive scope. When these aspects are considered, stakeholders may better understand the economic, social, and environmental effects of sintering flue gas management. This paper used the multi-criteria decision-making (MCDM) methodology to evaluate the criteria. We used the DEMATEL method as an MCDM method. The DEMATEL is used to build the relation between the criteria. We collect ten criteria in this study. We compute the criteria weights to show this study’s best and worst criterion. The DEMATEL method is used to draw the effect diagram between criteria.

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Muzafer Saracevic mail -
Nan Wang mail -
Elma Elfic Zukorlic mail -
Suad Becirovic mail
link https://doi.org/10.54216/AJBOR.010204

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

A Sustainable Approach for Assessing Safety Management in Subterranean Infrastructure excavation Using Multi-Criteria Decision-Making

Subterranean infrastructure excavation necessitates stringent safety assessment methodologies due to its complex nature. This study addresses this imperative by presenting an integrated framework based on the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. This methodology amalgamates multi-source information fusion and DEMATEL-driven multi-criteria decision-making techniques. The approach evaluates safety parameters within subterranean infrastructure excavation by synthesizing expert insights, on-site measured data, and predefined criteria. Through a systematic construction of judgment matrices, our approach offers a standardized means to assess observed values against established safety benchmarks.  The collaborative synthesis of expert assessments and empirical data not only informs the comprehensive relation matrix, highlighting intricate interdependencies among key factors but also fosters a structured pathway for evaluating safety. This integrated methodology, adaptable across diverse excavation scenarios, equips stakeholders with a holistic understanding of safety factors within subterranean construction. Facilitating informed decision-making, enables the optimization of safety protocols and interventions, thereby enhancing overall safety standards within such critical infrastructure projects.

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Irina V. Pustokhina mail -
Denis A. Pustokhin mail
link https://doi.org/10.54216/AJBOR.000104

Volume & Issue

Vol. Volume 0 / Iss. Issue 1

Details open_in_new

A Decision Support Tools Using Multi-Criteria Decision-Making Approach for Financial Performance Analysis in a Competitive Global Economy

Stakeholders may gauge a company's financial well-being, profitability, and efficiency via a financial performance review. An outline of the main points of evaluating financial performance is given in this abstract. Revenue growth, profitability, liquidity, cash flow, return on investment, debt management, asset efficiency, market value, return on equity, and comparative analysis against industry peers are all the evaluation's financial criteria and metrics. The market value, debt levels, liquidity, profitability, cash flow management, revenue-generating capabilities, and the firm's financial condition may be better understood by looking at these metrics. We proposed a methodology to evaluate the financial performance in the competitive global economy. We gather the criteria to be analyzed. So, we used the concept of multi-criteria decision-making (MCDM) to deal with various and conflicting criteria. We compute the weights of the criteria by the mean value. Then, we used the criteria weights as input into the MCDM method. We used the VIKOR method to rank the various companies in this study. We collected ten criteria and 20 companies to be organized. We conducted the sensitivity analysis in two parts and changed the weights of criteria under ten different cases. In the second case, we change the parameter in the VIKOR method with a value between 0.1 and 1. The results of the two cases show the results are stable and the proposed model performs well.

groups
Ahmed M. Ali mail -
Ahmed Abdelhafeez Ibrahim mail
link https://doi.org/10.54216/AJBOR.000105

Volume & Issue

Vol. Volume 0 / Iss. Issue 1

Details open_in_new