Journal ArticleDOI
Double-quantitative variable consistency dominance-based rough set approach
TLDR
Two kinds of consistency levels are introduced from the perspective of double quantification in an ordered information system, namely relative quantitative consistency level and absolute quantitative consistencylevel.About:
This article is published in International Journal of Approximate Reasoning.The article was published on 2020-09-01. It has received 19 citations till now. The article focuses on the topics: Dominance-based rough set approach & Consistency (statistics).read more
Citations
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Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems
TL;DR: The main task of local rough set model is to avoid the interference of complicated calculation and invalid information in the formation of approximation space, and two kinds of local multigranulation rough set models in the ordered information system are constructed by extending the single granulation environment to a multigramulation case.
Journal ArticleDOI
Dynamic updating approximations of local generalized multigranulation neighborhood rough set
Weihua Xu,Kehua Yuan,Wentao Li +2 more
TL;DR: A dynamic approximation update mechanism of multigranulation data from local viewpoint is investigated and the corresponding dynamic update algorithms for dynamic objects are proposed based on local generalized multIGranulation rough set model.
Journal ArticleDOI
Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system
TL;DR: Zhang et al. as discussed by the authors proposed a tri-level granular structure for knowledge-based learning, where the size valuation and logical operation are hierarchically supplemented at higher levels, and the relative and absolute distances of bottom neighborhood granules are linearly combined to a double-quantitative distance.
Journal ArticleDOI
Dynamic updating approximations of local generalized multigranulation neighborhood rough set
Weihua Xu,Kehua Yuan,Wentao Li +2 more
Journal ArticleDOI
Kansei evaluation for group of users: A data-driven approach using dominance-based rough sets
TL;DR: In this article, a data-driven approach for addressing user group oriented Kansei evaluation is proposed, which consists of three phases: the first phase identifies the representative Kansei attributes and product samples of the product domain to gather exemplary evaluation dataset from sampled representative users.
References
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Journal ArticleDOI
Variable precision rough set model
TL;DR: A generalized model of rough sets called variable precision model (VP-model), aimed at modelling classification problems involving uncertain or imprecise information, is presented and the main concepts are introduced formally and illustrated with simple examples.
Journal Article
On rough sets
TL;DR: The presented approach may be considered as an alternative to fuzzy sets theory and tolerance theory and some applications are outlined.
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Self-similarity of complex networks.
TL;DR: A power-law relation is identified between the number of boxes needed to cover the network and the size of the box, defining a finite self-similar exponent to explain the scale-free nature of complex networks and suggest a common self-organization dynamics.
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Rough set approach to incomplete information systems
TL;DR: This work proposes reduction of knowledge that eliminates only that information, which is not essential from the point of view of classification or decision making, and shows how to find decision rules directly from such an incomplete decision table.
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Three-way decisions with probabilistic rough sets
TL;DR: This paper provides an analysis of three-way decision rules in the classical rough set model and the decision-theoretic rough set models, enriched by ideas from Bayesian decision theory and hypothesis testing in statistics.