Results 81 to 90 of about 1,669,749 (174)

Expected Values of Aggregation Operators on Cubic Trapezoidal Fuzzy Number and its Application to Multi-Criteria Decision Making Problems

open access: yesJournal of New Theory, 2018
In this paper, we definetrapezoidal cubic fuzzy numbers and their operational laws. Started on theseoperational laws, each collection operators, with trapezoidal cubic fuzzyweighted arithmetic averaging operator and weighted geometric averagingoperator ...
Aliya Fahmi, Saleem Abdullah, Fazli Amin
doaj  

Enhanced Prediction of Heat Transfer and Frictional Drag Analysis in MHD Fluid Flow Using Fuzzy α‐Cut Parametric Sensitivity Analysis

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
The MHD Williamson fluid flow across a stretching surface is investigated under parametric uncertainty utilizing triangular fuzzy numbers. Fuzzification provides smoother transitions and better predictions of velocity, temperature, skin friction, and heat transfer than traditional crisp models.
R. Lakshana, A. David Maxim Gururaj
wiley   +1 more source

Diffusion MRI of the Body: Beyond PGSE‐EPI

open access: yesJournal of Magnetic Resonance Imaging, Volume 64, Issue 4, Page 881-897, October 2026.
ABSTRACT Diffusion magnetic resonance imaging (dMRI) is a widely used clinical imaging technique which is sensitive to changes in tissue microstructure including cellularity, perfusion, and tissue damage. DMRI has been used in whole‐body imaging as well as in targeted imaging of every major anatomical region.
Matthew T. Cherukara   +6 more
wiley   +1 more source

Optimizing Inventory Costs in Manufacturing Systems Using Trapezoidal and Pentagonal Fuzzy Numbers

open access: yesJournal of Mathematics
Every manufacturing industry strives to always provide impeccable goods. Due to machine failures, labor issues, etc., this is practically unachievable in real-world situations during the manufacturing run time.
Prasantha Bharathi Dhandapani   +4 more
doaj   +1 more source

AN APPLICATION OF FUZZY NUMBERS TO THE ASSESSMENT OF MATHEMATICAL MODELLING SKILLS [PDF]

open access: yesInternational Journal of Mathematical Modelling & Computations, 2016
In this paper we use the Triangular and Trapezoidal Fuzzy Numbers as tools for assessing student Mathematical Modelling (MM) skills. Fuzzy Numbers play a fundamental role in fuzzy mathematics analogous to the role played by the ordinary numbers in ...
Michael Gr. Voskoglou, Igor Ya. Subbotin
doaj  

Averaging Aggregation Operators with Interval Pythagorean Trapezoidal Fuzzy Numbers and Their Application to Group Decision Making

open access: yes, 2020
Pythagorean fuzzy number is a new tool for uncertainty and vagueness. It is a generalization of fuzzy numbers and intuitionistic fuzzy numbers. The paper deals with interval-valued Pythagorean trapezoidal fuzzy numbers.
M. Shakeel; Department of Mathematics, Hazara University Mansehra   +3 more
core  

An Intuitionistic Fuzzy Multi-Criteria Approach for Prioritizing Failures That Cause Overproduction: A Case Study in Process Manufacturing

open access: yesAxioms
Overproduction is one of the most significant wastes of Lean that can occur in any manufacturing company. Identifying and prioritizing failures that lead to overproduction are crucial tasks for operational managers and engineers.
Ranka Sudžum   +3 more
doaj   +1 more source

Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS [PDF]

open access: yesMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2012
In this paper, a novel intuitionist fuzzy TOPSIS method for groupdecision making will be presented. In this method the preferencevalues for an alternative on criteria and the weight values of criteriaare given by experts, using linguistic values of ...
Emad Roghanian, Fatemeh Mojibian
doaj  

Fuzzy‐Gated Selective Machine Learning for CTI‐Based Network Connection Management: A Pareto Evaluation

open access: yesInternational Journal of Network Management, Volume 36, Issue 6, November/December 2026.
ABSTRACT Modern network operations require timely IP risk decisions without executing complete machine learning pipelines for every observed address. This work proposes an interpretable and conservative fuzzy‐gated selective inference architecture for multisource cyber threat intelligence (CTI)‐based network connection management.
Francisco V. J. Nobre   +6 more
wiley   +1 more source

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