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A Dynamic Dominance-Based Rough Set Approach for Processing Ordered Data

2019
In real-world many information systems are varying over time. How to process efficiently dynamic data is a hot issue in data mining research field. Processing information with preference-ordered attribute domain is an important task in multi-criteria decision making.
Shaoyong Li, Zhiyong Hong
openaire   +2 more sources

Quantitative Dominance-Based Neighborhood Rough Sets via Fuzzy Preference Relations

IEEE Transactions on Fuzzy Systems, 2021
Guang Shi, Bernard de Baets
exaly  

A parallel rule-based approach to compute rough approximations of dominance based rough set theory

Engineering Applications of Artificial Intelligence, 2022
Usman Qamar, Muhammad Summair Raza
exaly  

New Applications and Theoretical Foundations of the Dominance-based Rough Set Approach

2010
Dominance-based Rough Set Approach (DRSA) has been proposed as an extension of the Pawlak's concept of Rough Sets in order to deal with ordinal data [see [2,3]]. Ordinal data are typically encountered in multi-attribute decision problems where a set of objects (also called actions, acts, solutions, etc.) evaluated by a set of attributes (also called ...
openaire   +1 more source

Double-quantitative variable consistency dominance-based rough set approach

International Journal of Approximate Reasoning, 2020
Weihua Xu, Xiaopingxue Xue, Wentao Li
exaly  

α-Dominance relation and rough sets in interval-valued information systems

Information Sciences, 2015
Hualong Yu, Xibei Yang, Yong Qi
exaly  

Improved dominance rough set-based classification system

Neural Computing and Applications, 2016
Ahmad Taher Azar, H Hannah Inbarani
exaly  

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