Results 71 to 80 of about 3,046 (204)

Improved neutrosophic exponential-ratio estimator of population mean with simple random sampling [PDF]

Neutrosophic Sets and Systems
In this paper we present a neutrosophic exponential-ratio estimator for calculating the population mean using simple random sampling. In sampling methods classical statistics always depends on exact and complete data, but when we are dealing with unclear
Bhatt Ravi Jitendrakumar, Ashish Kumar , Monika Saini   +2 more
doaj   +1 more source

A New Version of Kumaraswamy Distribution With Estimations and Applications

Engineering Reports, Volume 7, Issue 12, December 2025.
In this article, the unit interval in the Kumaraswamy distribution is extended to double‐bounded interval. The proposed model is constituted by the transformation of a logistic random variable with a power parameter, flexible enough to fit a wide range of real‐life scenarios involving risk evaluation.
Sadaf Khan, Gaber Sallam Salem Abdalla, Farrukh Jamal, John T. Mendy   +3 more
wiley   +1 more source

Statistical ∆M - Convergence in Neutrosophic Normed Space

Journal of Computational Mathematica, 2023
Characterizing Statistical ∆M-Convergence in the setup of Neutrosophic Normed Space for Double sequences is the main objective of our study in the current paper. We have provided a few instances that demonstrate how generalized this approach of convergence is.
Jeyaraman M, null Jenifer P
openaire   +1 more source

Pathways to a Sustainable Blue Economy: Exploring Its Barriers in an Emerging Economy

Business Strategy and the Environment, Volume 34, Issue 5, Page 6095-6110, July 2025.
ABSTRACT A sustainable blue economy is primarily intended for responsible consumption of ocean resources, achieving economic growth, and strengthening the overall ecosystem. The roots of the blue economy are embedded in sustainable development, exploiting opportunities for economic welfare and growth, simultaneously focusing on conserving marine health.
Koppiahraj Karuppiah, Jose Arturo Garza‐Reyes, Naveen Virmani   +2 more
wiley   +1 more source

Analysis of Graeco-Latin square designs in the presence of uncertain data

Journal of Big Data
Objective This paper addresses the Graeco-Latin square design (GLSD) under neutrosophic statistics. In this work, we propose a novel approach for analyzing Graeco-Latin square designs using uncertain observations.
Abdulrahman AlAita, Muhammad Aslam, Khaled Al Sultan, Muhammad Saleem   +3 more
doaj   +1 more source

Monitoring Using X-Bar Control Chart Using Neutrosophic-Based Generalized Multiple Dependent State Sampling with Application

International Journal of Computational Intelligence Systems, 2022
In this article, an enhanced X-bar control chart using generalized multiple dependent state (GMDS) sampling under neutrosophic statistics is presented.
Nasrullah Khan, Liaquat Ahmad, Muhammad Aslam   +2 more
doaj   +1 more source

A Hybrid N‐AHP‐Based TOPSIS Decision Support Approach for Investigation of the Effect of Different Solvents on the Bioactive Properties, Anticancer, and Antimicrobial Activities of Aronia melanocarpa Extract

Food Science &Nutrition, Volume 13, Issue 4, April 2025.
This study employed the N‐AHP‐based TOPSIS method to assess the alternatives, utilizing criteria weightings established through expert opinion. For the first time in the field of food science, extracts obtained from Aronia fruits were sequenced using N‐AHP‐based TOPSIS.
Gulsum Ucak Ozkaya
wiley   +1 more source

Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique

Engineering Reports, Volume 7, Issue 2, February 2025.
The Flow chart represents a model for the selection of optimized diagnostic approach for cardio vascular diseases. This novel model follows the concept of computational process incorporated with novel aggregation operators that are more flexible in nature.
M. Ameer, Walid Emam, Awais Yousaf, Muhammad Younis   +3 more
wiley   +1 more source

Neutrosophic regression type estimator for the finite population mean and its applications in real data scenarios

Frontiers in Applied Mathematics and Statistics
Research under classical statistics often relies on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise.
Neha Purwar, Kaustav Aditya, B, Pankaj Das, Tauqueer Ahmad   +4 more
doaj   +1 more source

The Combination of Paradoxical, Uncertain, and Imprecise Sources of Information based on DSmT and Neutro-Fuzzy Inference [PDF]

, 2004
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems ...
Dezert, Jean, Smarandache, Florentin
core   +1 more source