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An overview of granular computing in decision-making: Extensions, applications, and challenges
The management of uncertainty in decision-making problems remains a very challenging
and timely research issue despite many proposals. An interesting topic in this area in recent …
and timely research issue despite many proposals. An interesting topic in this area in recent …
Enforcing situation awareness with granular computing: a systematic overview and new perspectives
Situation Awareness is defined by Endsley as “the perception of the elements in the
environment within a volume of time and space, the comprehension of their meaning, and …
environment within a volume of time and space, the comprehension of their meaning, and …
Three-way decision approaches to conflict analysis using decision-theoretic rough set theory
Social progress normally occurs through a sequence of struggles and conflicts, and there
has been relatively little progress in develo** effective methods for conflict analysis …
has been relatively little progress in develo** effective methods for conflict analysis …
A novel approach to information fusion in multi-source datasets: A granular computing viewpoint
Abstract The advent of Big Data has seen both the sources and volumes of data increase
rapidly. A multi-source information system can be used to represent information drawn from …
rapidly. A multi-source information system can be used to represent information drawn from …
An efficient selector for multi-granularity attribute reduction
Presently, the mechanism of multi-granularity has been frequently realized by various
mathematical tools in Granular Computing especially rough set. Nevertheless, as a key topic …
mathematical tools in Granular Computing especially rough set. Nevertheless, as a key topic …
On rule acquisition in incomplete multi-scale decision tables
Granular computing and acquisition of IF-THEN rules are two basic issues in knowledge
representation and data mining. A rough set approach to knowledge discovery in incomplete …
representation and data mining. A rough set approach to knowledge discovery in incomplete …
Encoding words into interval type-2 fuzzy sets: The retained region approach
The first step of implementing computing with words using a perceptual computer is to
establish an encoder to transform words into interval type-2 fuzzy sets. In this paper, a novel …
establish an encoder to transform words into interval type-2 fuzzy sets. In this paper, a novel …
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization
Accurately forecasting power load is essential for utilities to effectively manage their
resources, reduce operational costs, and provide improved customer service. However, the …
resources, reduce operational costs, and provide improved customer service. However, the …
Sequential three-way decisions in multi-category image recognition with deep features based on distance factor
The paper addresses the issue of insufficient speed of image recognition methods if the
number of classes is rather large. We propose the novel algorithm based on sequential …
number of classes is rather large. We propose the novel algorithm based on sequential …
Online structural clustering based on DBSCAN extension with granular descriptors
In online structural clustering, general density-based clustering algorithms have problems of
low scalability and high computation cost, especially in big data analysis, this paper …
low scalability and high computation cost, especially in big data analysis, this paper …