Computer Applications in Engineering Education, Volume 34, Issue 6, November 2026.ABSTRACT Fuzzy logic control is well known for its robustness across various automation engineering applications. Its structured linguistic modeling of human expertise and empirical knowledge makes it attractive to both students and control engineers. However, such expertise can only be developed through practice and trials. Existing solutions are time‐
Mohammed Chaker Boutalbi +3 more
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Aggregation Operators of Trapezoidal Intuitionistic Fuzzy Sets to Multicriteria Decision Making
, 2017 This paper presents the trapezoidal intuitionistic fuzzy weighted averaging (TIFWA) operator, trapezoidal intuitionistic fuzzy ordered weighted averaging (TIFOWA) operator, trapezoidal intuitionistic fuzzy weighted geometric (TIFWG) operator, and ...
Jufeng Ye
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Solving Rectangular Fuzzy Games through
Open Computer Science, 2017 Fuzzy set theory has been applied in many fields such as operations research, control theory and decision sciences. In particular, an application of this theory in decision making problems has a remarkable significance.
Chaudhuri Arindam
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A framework of Trapezoidal Fuzzy Best-Worst Method in Location Selection for Surface Water Treatment Plant [PDF]
PollutionDecision-making under uncertainty refers to a dilemma when a decision-maker is aware of a variety of potential natural states but lacks adequate information to assign any probabilities of occurrence to them.
Kalyani Debnath +4 more
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Fast Localized Calibration for Spatial‐Spectral Excitation Without Fly‐Back Gradients
Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2253-2265, November 2026.ABSTRACT Purpose Standard spatial‐spectral excitation pulses apply a fly‐back gradient between sub‐pulses, limiting, for example, how thin the slices can be (> 4 mm). Without fly‐back gradients, slices can be as thin as 1.7 mm but require a phase calibration for the sub‐pulses with inverted gradients due to system imperfections.
Michael Schär +3 more
wiley +1 more source
Algorithm of arithmetical operations with fuzzy numerical data [PDF]
In this article the theoretical generalization for representation of arithmetic operations with fuzzy numbers is considered. Fuzzy numbers are generalized by means of fuzzy measures.
Bocharnikov, Victor, Sveshnikov, Sergey
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Research on Risk Element Transmission of Enterprise Project Evaluation Chain Based on Trapezoidal Fuzzy Number FAHP [PDF]
, 2012 In this study, a new modeling method based on trapezoidal fuzzy number FAHP has been proposed to solve the problem of risk element transmission in enterprise project evaluation chain.
Li Cunbin, Li Peng
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Parametric distance measure for trapezoidal intuitionistic fuzzy numbers and application in Multi-criteria group decision-making [PDF]
Mathematics and Computational SciencesIt is important to have an intuitionistic fuzzy set that allows each set element to have a membership value, a non-membership value, and a hesitancy value. This is because each element of the set can possess all three values. We will focus on one type of
Roohollah Abbasi Shureshjani +3 more
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Time Series Fuzzy Bayesian Logistic Regression for Wildfire Event Prediction
Earth and Space Science, Volume 13, Issue 11, November 2026.Abstract Wildfires are among the most destructive natural hazards, posing significant threats to ecosystems, communities, infrastructure, and economies. Accurately predicting the likelihood of wildfires enhances the effectiveness of preventive actions.
Georgios Charizanos +2 more
wiley +1 more source
Optimizing Inventory Costs in Manufacturing Systems Using Trapezoidal and Pentagonal Fuzzy Numbers
Journal of MathematicsEvery 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
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