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A Bayesian parametrized method for interval-valued regression models
Interval-valued data, as typical symbolic data, provide a feasible way to deal with massive data sets. Although a lot of literature has been focused...
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The minimum covariance determinant estimator for interval-valued data
Effective estimation of covariance matrices is crucial for statistical analyses and applications. In this paper, we focus on the robust estimation of...
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A One-Layer Recurrent Neural Network for Interval-Valued Optimization Problem with Linear Constraints
In this paper, the interval-valued optimization problem is converted to a general problem in the parametric form and its solution is efficient. We...
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A Neurodynamic Approach for Solving E-Convex Interval-Valued Programming
The E-convexity is a generalization of convexity and a special instance of invexity. In this research, we investigate the E-convex interval-valued...
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Interval Valued Data Representation for Gender Classification of Celebrity Cartoon Faces
In this paper, we address the problem of recognizing the gender of celebrities in cartoons images. We propose a method of representing celebrity...
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Granularity-driven trisecting-and-learning models for interval-valued rule induction
Three-way decision (3WD) theory and granular computing have recently received much attention as methods for thinking and problem solving. Based on...
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Dynamic maintenance of updating rough approximations in interval-valued ordered decision systems
In the new era of information society, dynamic data is common and widely applied in many fields. To save the computing time of upper and lower...
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Exploring interval implicitization in real-valued time series classification and its applications
Due to the fact of uncertainty contained in observed real-valued time series, the aim of this paper is to explore interval implicitization in...
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Feature selection using a weighted method in interval-valued decision information systems
Recent developments in big data applications have heightened the need for understanding and processing high-dimensional data. It is necessary to...
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An Interval-Valued Trapezoidal Intuitionistic Fuzzy TOPSIS Approach for Decision-Making Problems
The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a well-known multi-criteria decision-making strategy that has been...
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Three-way conflict analysis based on interval-valued Pythagorean fuzzy sets and prospect theory
Conflict analysis gives guidelines for conflict resolution, which has been thoroughly studied and received widespread interest. Three-way conflict...
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Novel group decision-making method based on interval-valued m-polar fuzzy soft expert information
In mathematical modeling and decision analysis, the multipolar uncertainty is prevalent and requires specialized approaches. The theory of m -polar...
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A novel similarity measure based on new accuracy function on interval-valued intuitionistic fuzzy number and its application to multicriteria decision-making problem
Interval-valued intuitionistic fuzzy numbers (IVIFNs) are perfect to even more naturally model real-life issues and can be applied to several area...
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Belief entropy rate: a method to measure the uncertainty of interval-valued stochastic processes
Entropy rate, as an effective tool in information theory, can measure the uncertainty of stochastic processes modeled by probability mass function....
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The consistency and consensus analysis for group decision-making with incomplete linguistic interval-valued intuitionistic fuzzy preference relations
This paper mainly provides a group decision-making (GDM) method based on linguistic interval-valued intuitionistic fuzzy preference relations...
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Application of Interval Valued Fuzzy Sets in Attribute Ranking
In this paper, a new methodology for ranking the attributes of a given decision table is proposed. It is a combination of discernibility relations in...
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A novel kernel principal component analysis with application disaster preparedness of hospital: interval-valued Fermatean fuzzy set approach
In an interval-valued Fermatean fuzzy environment, a group decision-making issue relating to data on the disaster preparedness of hospitals is...
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Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing
It has been recently shown that in some applications, e.g., in ship navigation near a harbor, it is convenient to use combinations of basic colors –...
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A novel group decision-making method for interval-valued q-rung dual hesitant fuzzy information using extended power average operator and Frank operations
This paper advances the field of multi-attribute group decision making (MAGDM) by proposing a novel framework based on interval-valued q-rung dual...
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A Novel Weighted Averaging Operator of Linguistic Interval-Valued Intuitionistic Fuzzy Numbers for Cognitively Inspired Decision-Making
An aggregation operator of linguistic interval-valued intuitionistic fuzzy numbers (LIVIFNs) is an important tool for solving cognitively inspired...
