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Parallel computing of approximations in dominance-based rough sets approach
Knowledge-Based Systems, 2015Computation of approximation is a critical step for applying rough sets methodologies in knowledge discovery and data mining. As an extension of classic rough sets theory, Dominance-based Rough Sets Approach (DRSA) can process information with preference-ordered attribute domain and then can be applied in multi-criteria decision analysis and other ...
Shaoyong Li +4 more
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Dominance-Based Rough Set Approach for Decision Analysis - A Tutorial
2008Scientific analysis of decision problems aims at giving the decision maker (DM) a recommendation concerning a set of objects (called also alternatives, solutions, acts, actions, cases, candidates) evaluated wiht respect to a plurality of their characteristics considered relevant for the problem at hand, and called attributes.
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Dominance-based rough set approach to incomplete fuzzy information system
2008 IEEE International Conference on Granular Computing, 2008Although many extended rough set models have been successfully applied into the incomplete information system, most of them do not take the incomplete information system with initial fuzzy data into account. This paper thus presents a general framework for the study of dominance-based rough set model in the incomplete fuzzy information systems.
null Lihua Wei +3 more
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Redefining preliminaries of dominance-based rough set approach
Soft Computing, 2022Faryal Nosheen +2 more
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An incremental approach for calculating dominance-based rough set dependency
Soft ComputingFeature selection and classification are widely used in machine learning in the context of big data. In many data sets, both attributes and decision classes can be preference ordered. Therefore, to process the data and information based on preference-ordered attributes, dominance-based rough set approach (DRSA) has been proposed.
Rana Muhammad Kaleem Ullah +3 more
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A Multi-granulation Model under Dominance-Based Rough Set Approach
2012Multi-granulation rough set is a generalization of Rough Set Theory (RST) in order to adapt to cases that there are multiple relations in the universe. To allow Dominance-based Rough Set Approach (DRSA) being applied in multiple relations cases, we propose a multi-granulation model based on DRSA.
Shaoyong Li, Tianrui Li, Chuan Luo
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Dominance-Based Rough Set Approach to Reasoning About Ordinal Data
2007Dominance-based Rough Set Approach (DRSA) has been proposed by the authors to handle background knowledge about ordinal evaluations of objects from a universe, and about monotonic relationships between these evaluations, e.g. "the larger the mass and the smaller the distance, the larger the gravity" or "the greater the debt of a firm, the greater its ...
SLOWINSKI R +2 more
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Possibility and Necessity Measures in Dominance-based Rough Set Approach
2003Dominance-based rough set approach is an extension of the basic rough set approach proposed by Pawlak, to multicriteria classification problems. In this paper, the dominance-based rough set approach is considered in the context of vague information on preferences and decision classes.
Salvatore Greco +2 more
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A review on turbulent flow over rough surfaces: Fundamentals and theories
International Journal of Thermofluids, 2021Mohammadreza Kadivar +2 more
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