Granular Computing
Granular computing with multiple granular layers for brain big data processing
... devices. Granular computing with multiple granular layers, referred to as multi-granular computing (MGrC) for short hereafter, is an emerging computing paradigm of information ...
10
Fuzzy rule-based systems for recognition-intensive classification in granular computing context
... a granular computing perspective, and we include this column just for clarifying what outputs would be provided by the fuzzy classifier if the defuzzification step is ...
13
Case Study on Assessment of Mild Traumatic Brain Injury Using Granular Computing
... proposed granular computing approach was shown to provide a simple parameter (DS) that is capable of revealing very fine individual differenc- es that otherwise would have been very difficult to pick up ...
5
On Granular Computing Visa Covering: New Definition and Related Covering Rough Set
... Abstract. The Zoom-in and Zoom-out operators play an important role in the model of Granular Computing based on covering. In this paper, a new Zoom-in operator is defined, the combination operators formed ...
7
Nature-inspired framework of ensemble learning for collaborative classification in granular computing context
... Due to the vast and rapid increase in the size of data, machine learning has become an increasingly popular approach of data classification, which can be done by training a single classifier or a group of classifiers. A ...
12
Fuzzy Rule-Based Systems for Recognition Intensive Classification in Granular Computing Context
... In traditional machine learning, classification is typically undertaken in the way of discriminative learning using proba- bilistic approaches, i.e. learning a classifier that discriminates one class from other classes. ...
12
Rough-Mereology Framework for Making Medical Treatment Decisions Based on Granular Computing
... the granular computing from distinctive ...umbrella, Granular Computing covers themes in different fields even if they are considered ...disconnected. Granular Computing includes ...
10
Characterization and quantification of gait deficits within gait phases using fuzzy granular computing
... of granular computing to quantify gait parameters within the seven gait ...fuzzy-granular computing on the vertical ground reaction force (VGRF) and surface electromyography (sEMG) data to ...
9
Association Rule Granulation using Rough Sets on Intuitionistic Fuzzy Approximation Spaces and Granular Computing
... knowledge are the fundamental steps of any model in which we identify the right problem. The potential validity or usefulness of an individual data element or pattern of data elements may change dramatically from ...
20
Advancing Ensemble Learning Performance through data transformation and classifiers fusion in granular computing context
... practice, granular computing concepts can be used in various appli- cation ...of granular computing concepts are popularly involved in multi-attribute decision making (Xu and Wang, 2016; Liu ...
32
Information fusion of ITS based on granular computing
... In this paper, we take the advantages of the quotient space theory in dealing with massive, fuzzy data to establish the congestion impact factor index system, and build congestion recognition model based on quotient ...
7
Frequent Spatiotemporal Association Patterns Mining Based on Granular Computing
... on granular computing is proposed, which is different from traditional association patterns mining ...via granular computing, in other words, it discovers each frequent spatiotemporal ...
12
FL-GrCCA: A granular computing classification algorithm based on fuzzy lattices
... the granular computing ...on granular computing and neighborhood systems, mainly focusing on a granular computing model which included the binary relation, the granular ...
10
1 Introduction 2. 2 Granular Computing Basic Issues Simple Granulations Hierarchical Granulations... 7
... In the GrC model, the three basic types of operations, creation of logical views (granulation), navigation through different logical views, and retrieval, support the user to investigate[r] ...
31
Reductions of Information Granules in Covering Granular Computing Model
... Conclusion In this paper, three new kinds of cover reductions were proposed, and the relation between the classes covering reductions and the corresponding cover upper approximations was[r] ...
5
Granular computing approach for intelligent classifier design
... However, computing H in every iteration is computationally expensive as the computational complexity and memory requirements are proportional to the square of the number of ...
146
On Uncertain Granular Numbers
... inexact granular numbers such as: interval numbers, fuzzy numbers, rough numbers, vague numbers, grey numbers, and all these number falling under the same umbrella of Granular ...Unified granular ...
8
Granular Drag and the Kinetics of Jamming
... of granular flow in the ...a granular bed, are rotated about a vertical axis [11, 19, 49, ...of granular media that is imagined to rotate as a solid along with the vanes [19, 49, ...
112
On the determination of the granular size of the economy
... residual accounts approximately for 45% of variations of GDP growth. This value turns out to be higher than the explanatory power reported by Gabaix for the American economy. Our results provide a further empirical ...
10
GRANULAR CELL MYOBLASTOMA IN CHILDHOOD
... : So-Called Mvoblastoma; report of three cases of mvobbastoma of skin and one case of myoblastoma of trapezius muscle. : Mvobbastoma of bronchus[r] ...
7