Yiyu Yao

Professor

University of Regina

Canada

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About

Yiyu Yao is a Professor at the University of Regina, Canada. His research interests encompass multi-criteria decision-making, rough sets, and granular rough sets, with recent articles exploring frameworks and methodologies in these areas. Additionally, he investigates adaptive feature selection, event causal relation extraction, and classification challenges in complex data environments.

Articles (27)

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2025

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2020

Collaborators (1)

Ning Zhong

Professor

Maebashi Institute of Technology

JAPAN

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Yiyu Yao

Research Interests

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About

Articles (27)

Explainable multi-criteria decision-making: A three-way decision perspective

A trilevel framework of rough sets and granular rough sets: Characterizing existing models and formulating new models

Adaptive feature selection with weighted fuzzy rough sets for noisy data

Three-way decision with granular rough sets

Event Causal Relation Extraction in Brain Connectomics: A Model Utilizing Weighted Joint Constrained Learning

Three-way multi-label classification: A review, a framework, and new challenges

An Asymmetric Approach to Three-Way Approximation of Fuzzy Sets

Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information

Shadowed set approximations of L-fuzzy sets

CPS-3WS: A critical pattern supported three-way sampling method for classifying class-overlapped imbalanced data

An axiomatic framework for three-way clustering

Feature Selection Using Zentropy-Based Uncertainty Measure

A lattice-theoretic model of three-way conflict analysis

Geodesic Fuzzy Rough Sets for Discriminant Feature Extraction

Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges

Three-way clustering: Foundations, survey and challenges

Three-Way Group Decision-Making With Personalized Numerical Scale of Comparative Linguistic Expression: An Application to Traditional Chinese Medicine

The Dao of three-way decision and three-world thinking

Tri-granularity attribute reduction of three-way concept lattices

Human-machine co-intelligence through symbiosis in the SMV space

A three-way multi-attribute decision making method based on regret theory and its application to medical data in fuzzy environments

Symbols-Meaning-Value (SMV) space as a basis for a conceptual model of data science

Granular rough sets and granular shadowed sets: Three-way approximations in Pawlak approximation spaces

Tri-level attribute reduction in rough set theory

The geometry of three-way decision

Set-theoretic models of three-way decision

Covering-based variable precision fuzzy rough sets with PROMETHEE-EDAS methods

Collaborators (1)

Ning Zhong

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