The purpose of this article is to develop some general aggregation operators (AOs) based on Einstein’s norm operations, cumulate the Fermatean fuzzy data in decision-making environments. A set (FFS), possessing more flexible structure than intuitionistic (IFS) and Pythagorean (PFS), a competent tool handle vague information process by means membership degree (MD) nonmembership (NMD). Our target empower AOs using theoretical basis Einstein norms for FFS establish advantageous operators,...

This note introduces a new class of preinvexity called (h1,h2)-Godunova-Levin preinvex functions that generalize earlier findings. Based on these notions, we developed Hermite-Hadamard, weighted Fejér, and trapezium type inequalities. Furthermore, constructed some non-trivial examples in order to verify all the results. In addition, discussed applications related trapezoidal formula, probability density functions, special means. Lastly, importance relations left two open problems for future...

We construct a model to investigate HIV/AIDS dynamics in real cases and study its mathematical analysis. The examines the qualitative outcomes confirms local global asymptotic stability of both endemic equilibrium disease-free equilibrium. model’s criteria for exhibiting asymptotically stable behavior are examined. compute equilibria obtain existence unique positive data is fitted using idea nonlinear least-squares fitting. Accurate parameter values achieved by fitting 95% confidence...

<abstract><p>This article introduces a new iterative transform method and homotopy perturbation along with natural to analyze the multi-dimensional Navier-Stokes equations. To solve fractional-derivative, Caputo-Fabrizio definition of fractional derivative was employed. Four examples were considered examine efficacy accuracy proposed methods. The efficiency also demonstrated by solution comparison via graphs. methods' convergence uniqueness are discussed. methods mentioned above...

<p>The Riemann waves in two spatial dimensions are described by the fractional Calogero-Bogoyavlenskii-Schiff equation, which has been used to explain numerous physical phenomena including magneto-sound plasmas, tsunamis, and flows rivers internal oceans. This work concerned itself with obtaining new analytic soliton solutions for model based on conformable. By solving equation Riccati-Bernoulli sub-ODE technique association Bäcklund transformation, solution was found terms of...

This study aims to formulate a new probability distribution, called the Kumaraswamy Exponential Pareto distribution (KEPD), from (EP). was designed be suitable for fitting real-life data by utilizing family create novel continuous approach. derived some properties of this and conducted simulation using different parameter combinations. The results demonstrated impact additional parameters on suggested distribution. In applications, exhibits better fit than existing Exponentiated Distribution...

This paper focuses on the derivation of a new two-parameter discrete probability distribution. The model is derived by mixing Poisson and Loai distributions named "Poisson Distribution". explores various mathematical properties model, introducing count-regression based this parameters are estimated using maximum likelihood estimation method. A comprehensive simulation study utilized to assess behavior estimators. importance proposed distribution confirmed through analysis three real...

Engineers design systems to be reliable and work fulfil their missions without failure for a specific period. However, the system components deteriorate with time lead its failures. A frequent increases management costs, hence posing challenge decision-makers. Therefore, avoidance of failures, preventive maintenance is necessary. The objective any manufacturing firm maximize profit minimize costs. interval can optimized if system's availability maximized cost function minimized. This study...

Abstract Background A consistent referral system and patient patronage are the primary connections between three tiers in healthcare delivery system. Patients were scheduled to visit care clinics for first time. Subsequently, patients moved more distinguished facilities receive additional care. Objectives This study aims investigate reasons behind patients' transfer from secondary tertiary care, as well critical factors that influence these referrals. Methods employs a mixed‐methods approach...

<abstract> The existence of neutral /indeterminacy degrees reflects the more practical aspects decision-making scenarios. Thus, this paper has studied intuitionistic fuzzy multiobjective linear programming problems (IFMOLPPs) under neutrosophic uncertainty. To highlight neutrality in IFMOLPPs, we have investigated optimization techniques with parameters. marginal evaluation each objective is determined by three different membership functions, such as truth, indeterminacy, and falsity...

Estimation of population parameters plays a vital role in the area sampling. Many authors have proposed several estimators for estimating parameter(s) using auxiliary information. This paper has attempted to suggest new estimator general parameter ta,b information simple random sampling without replacement (SRSWOR). A conventional is used define constants: coefficient variation, mean, standard deviation, and mean square. The expression minimum squared error been derived. efficiency suggested...

The Fuzzy Logistic Regression model can estimate the parameters when data-set contains ambiguousness due to vagueness and cannot consider degree of hesitation. Thus, this paper proposes a novel Intuitionistic deal with imprecise containing hesitation degrees at time. In context, revised Tanaka's is used parameters. To illustrate working efficiency proposed intuitionistic fuzzy logistic regression, we have presented birth-weight applied it. comparative study also performed other statistical...

COVID-19 is a virus that spread globally, causing severe health complications and substantial economic impact in various parts of the world. The forecast on infections significant crucial information will help executing policies effectively reducing daily cases. Filtering techniques are important ways to model dynamic structures because they provide good valuations over recursive Bayesian updates. Kalman filters, one filtering techniques, useful studying contagious infections. filter...

This paper investigates novel intuitionistic fuzzy preferences relations to determine the imprecise linguistic terms with goals. The proposed goal programming (IFGP) considers degree of vagueness and hesitations simultaneously. Different sorts membership functions such as linear, exponential, parabolic, hyperbolic have been introduced depict importance term. overall satisfaction level is achieved by maximizing convex combination each goals preference To verify validate IFGP model, a...

&lt;abstract&gt;&lt;p&gt;In this paper, we investigate the existence of positive solutions a system Riemann-Liouville Hadamard differential equations with $ p $-Laplacian operators under various combinations superlinearity and sublinearity. We apply Guo-Krasnosel'skii fixed point theorem for proof results.&lt;/p&gt;&lt;/abstract&gt;

In this paper, we study left-invariant cross curvature solitons on Lorentzian three-dimensional Lie groups and classify these solitons.

Ranked set sampling is widely acknowledged for its superior efficiency compared with simple random sampling. Only a small amount of work has been conducted using ranked when measurement errors are present. This study introduces innovative estimators utilizing to assess the population mean faced both correlated and uncorrelated errors. The expressions bias squared error proposed derived up first-order approximation, revealing their performance other examined estimators. efficacy suggested in...

This study focuses on standardizing sampling techniques and comparing various methods of sample allocation to effectively estimate apple area production in the Himalayan region India. We investigate different stratification tools,in formulating a plan using information gathered from select orchardists locale during 2016-17 period, it becomes essential explore diverse methodologies define most suitable stratum boundaries, ascertain requisite number strata, identify optimal size. The process,...

In this paper, Crank-Nicolson differential quadrature method based on cubic exponential B-spline (CExpB-spline) functions is presented to approximate the 1D nonlinear hyperbolic Sine-Gordon equation (SGE). The time derivative discretized by usual forward difference scheme while (DQM) used integrate spatial derivatives. discretization of problem gives systems linear equations. Three numerical examples are chosen investigate efficiency and accuracy method. It observed that proposed provides...

The novel coronavirus disease (COVID‐19) pandemic has had devastating effects on healthcare systems and the global economy. Moreover, been found in human feces, sewage, wastewater treatment plants. In this paper, we highlight transmission behavior, occurrence, persistence of virus sewage Our approach follows process identifying a hotspot through existing plants major cities Saudi Arabia. mathematical distributions, including log‐normal distribution, Gaussian model,...