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A weighted centroids approach based trapezoidal interval type-2 fuzzy TOPSIS method for evaluating agricultural risk management tools
This study proposes a trapezoidal interval type-2 fuzzy TOPSIS method to evaluate agricultural risk management tools. The weighted centroids based on...
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ELECTRE TRI-C with Hesitant Fuzzy Sets and Interval Type 2 Trapezoidal Fuzzy Numbers Using Stochastic Parameters: Application to a Brazilian Electrical Power Company Problem
ELECTRE TRI-C is a method for sorting problems with imprecise evaluations and stable criteria weights, typically for a single decision-maker. While...
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Type-2 Fuzzy Sets Including Word Models
This chapter formally introduces type-2 fuzzy sets and is the backbone for the rest of this book. It includes a lot of new terminology and also a way... -
Interval Type-2 Fuzzy Systems
This chapter explores many aspects of the interval type-2 (IT2) fuzzy system that was introduced in Chap. 1 . As... -
General Type-2 Fuzzy Systems
This chapter explores many aspects of the general type-2 (GT2) fuzzy system that was introduced in Chap. 1 . It... -
Availability and profit analysis of gas turbine system using new type of generalized trapezoidal fuzzy numbers
The availability and profitability of a gas turbine system are being studied in this paper using a novel class of generalised trapezoidal fuzzy...
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A Novel Fuzzy Cumulative Sum Control Chart with an α-Level Cut Based on Trapezoidal Fuzzy Numbers for a Real Case Application
Statistical process control (SPC) is widely used to monitor production processes in many industries under certain conditions. When dealing with a...
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Integrating trapezoidal fuzzy best–worst method and single-valued neutrosophic fuzzy MARCOS for efficiency analysis of surface water treatment plants
Despite being aware of a number of potential natural states, the decision-maker lacks the expertise to calculate their probability. The uncertainty...
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Bi-Level Linear Fuzzy Fractional Programming Problem Under Trapezoidal Fuzzy Environment: A Solution Approach
This paper proposes a method to solve a bi-level linear fuzzy fractional programming problem comprising all its constants and coefficients expressed... -
Prediction of machinability parameters in turning operation using interval type-2 fuzzy logic system based on semi-elliptic and trapezoidal membership functions
Predicting the behaviour of a manufacturing operation is always challenging. Predictive analytics plays a major role in tackling errors present in...
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A Novel Kind of Arithmetic Operations on Trapezoidal Fuzzy Numbers and Its Applications to Optimize the Transportation Cost
The main objective of this paper is to define novel kind of operations on trapezoidal fuzzy numbers that is totally different from the existing...
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Multi-item two-stage fixed-charge 4DTP with hybrid random type-2 fuzzy variable
Parameters of some real-life decision-making problems are simultaneously uncertain, imprecise, and vague. In this paper, for the first time, we...
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Interval Type-2 Fuzzy Systems: Design Methods and Case Studies
This chapter is the IT2 version of Chap. 4 . It focuses first on what exactly “design of an IT2 fuzzy system”... -
Type-2 Fuzzy Set Approach to Image Analysis
Segmentation is an essential task in image analysis process. Due to non-homogeneous intensities, blurred boundaries, noise and minimum of contrast it... -
Development of a Prototype of a Medical Application Using a Type-2 Fuzzy Inference System
The report presents a prototype of a medical fuzzy expert system developed for predicting the possibility of infection with COVID-19. The knowledge... -
Interval Type 2 Fuzzy Z-AHP and Interval Type 2 Fuzzy-Z WASPAS: Selection of Industry 4.0 Sub-Technologies
Industry 4.0, indicated as the “Fourth Industrial Revolution”, has taken great attention in terms of the potential to reflect entire industries’... -
Autonomous data partitioning for type-2 fuzzy set based time series
Time series forecasting is widely used to predict future values in several applications, such as climate, industries demand, stock markets and...
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Driving Style Recognition Using Interval Type-2 Fuzzy Inference System and Multiple Experts Decision-Making
Driving styles summarize different driving behaviors that reflect in the movements of the vehicles. These behaviors may indicate a tendency to...
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Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data
Fuzzy regression is a generalized regression model to represent the relationship between dependent and independent variables in a fuzzy environment....
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Adaptive Neuro-fuzzy Algorithm for Pitch Control of Variable-speed Wind Turbine
With increasing size of wind turbines (WTs), the power regulation and fatigue loads on WT structures emerge as major problems to wind power industry....