This article mainly focuses on employing the DRSA to process composite ordered decision systems including categorical, numerical, set-valued, interval-valued ...
This article mainly focuses on employing the DRSA to process composite ordered decision systems including categorical, numerical, set-valued, interval-valued ...
Dominance-based neighborhood rough sets (DNRS) using fuzzy preference relations (FPRs) are presented in this article to deal with attribute reduction in the ...
This article mainly focuses on employing the DRSA to process composite ordered decision systems including categorical, numerical, set-valued, interval-valued ...
Jun 9, 2019 · Since dominance-based rough set approach can process information with preference-ordered attribute domain, it has been applied widely to multi- ...
Missing: composite | Show results with:composite
A new strategy of updating approximations in DRSA under the cases when a lot of objects being added is introduced to reduce the redundant computation in ...
Missing: composite | Show results with:composite
A Dynamic Dominance-Based Rough Set Approach for Processing Ordered Data ... computing rough approximations in set-valued decision systems while updating ...
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What is dominance based rough set approach?
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Oct 22, 2024 · In the process of dealing with OISs, dominant preference, which plays a significant role in decision making, should be taken into consideration.
Jan 9, 2024 · A new approach has been proposed in this paper which calculates the dominance-based rough set dependency measure without calculating the lower and upper ...
摘要. Dominance-based Rough Set Approach (DRSA) is a significant extended rough set model to process multi-criteria classification problems in which there ...