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Three-Way Decision Models Based on Multi-granulation Rough Intuitionistic Hesitant Fuzzy Sets
In practice, people may hesitate to evaluate uncertain things. As an extension of fuzzy sets, intuitionistic hesitant fuzzy sets use multiple...
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A new type of cosine similarity measures based on intuitionistic hesitant fuzzy rough sets for the evaluation of volatile currency: evidence from the Pakistan economy
This article proposes novel cosine and weighted cosine similarity measures based on intuitionistic hesitant fuzzy rough sets and examines their...
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On a dual proximity measure based on intuitionistic fuzzy sets
In this paper, we present a new approach for defining a dual proximity measure for intuitionistic fuzzy sets. The new approach utilizes an extended...
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Commentary on “D-Intuitionistic Hesitant Fuzzy Sets and Their Application in Multiple Attribute Decision Making”
BackgroundLi and Chen (Cognit Comput. 2018; 10:496–505) proposed the concept of the D-intuitionistic hesitant fuzzy set as well as proposed a method...
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An Interval-Valued Intuitionistic Hesitant Fuzzy Methodology and Application
Using advantages of interval-valued intuitionistic hesitant fuzzy sets (IVIHFS) for describing the hesitant and intuitionistic decisions of experts...
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An Enhanced Interactive and Multi-criteria Decision-Making (TODIM) Method with Probabilistic Dual Hesitant Fuzzy Sets for Risk Evaluation of Arctic Geopolitics
The psychological factors of experts play a special role in the process of decision-making, especially in some situations that experts are not...
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Hesitant fuzzy three-way concept lattice and its attribute reduction
Formal concept analysis is a widely studied mathematical tool for performing data analysis and processing. Three-way decision is a model of decision...
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An approach for fuzzy group decision making and consensus measure with hesitant judgments of experts
In some actual decision-making problems, experts may be hesitant to judge the performances of alternatives, which leads to experts providing decision...
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Integrated hesitant fuzzy-based decision-making framework for evaluating sustainable and renewable energy
Energy can be generated from renewable sources such as geothermal heat, rain, wind, tides, and sunlight. All nations' economies and political systems...
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A novel intuitionistic-near fuzzy sets based image fusion approach: development on hybrid MPI+OpenMP parallel model
Image fusion is used to extract relevant features from different image modalities like infrared and visual images and to combine them into a single...
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An extended intuitionistic fuzzy ABAC method for evaluating innovative project ideas
The innovation process typically follows a predefined sequence of phases: idea generation, screening, evaluation/selection, development, and...
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Weighted correlation coefficient measure for intuitionistic fuzzy set based on cosine entropy measure
Here, a new weighted correlation coefficient measure for intuitionistic fuzzy sets has been proposed having range between [− 1, 1]. It is obvious...
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Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges
Enhancing decision-making under risks is crucial in various fields, and three-way decision (3WD) methods have been extensively utilized and proven to...
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An intuitionistic fuzzy hypersoft expert set-based robust decision-support framework for human resource management integrated with modified TOPSIS and correlation coefficient
Human resource management is the process of making a company’s human resources decisions. In general, these decisions include hiring, firing,...
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Interactive group decision making method based on probabilistic hesitant Pythagorean fuzzy information representation
Interactive group evaluation is a decision-making method to obtain group consensus by constantly modifying the initial weight of experts....
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Crime linkage and psychological profiling of offenders under intuitionistic fuzzy environment using a novel resemblance measure
Crime is a significant issue in society, with the causes of crime needing more attention and action from social, governmental, and judicial entities....
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Evaluating power system reform proposals based on the evidential reasoning algorithm with hesitant fuzzy information
The reforming and updating of power systems play a key role in promoting the low-carbon technology progress, saving non-renewable energy resources...
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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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Neural intuitionistic fuzzy system with justified granularity
Fuzzy systems are intensively investigated and extended to construct forecasting models. In particular, intuitionistic fuzzy sets are used to capture...
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An equidistance index intuitionistic fuzzy c-means clustering algorithm based on local density and membership degree boundary
Fuzzy c-means (FCM) algorithm is an unsupervised clustering algorithm that effectively expresses complex real world information by integrating fuzzy...
