Towards felicitous decision making: An overview on challenges and trends of Big Data

H Wang, Z Xu, H Fujita, S Liu - Information Sciences, 2016 - Elsevier
Abstract The era of Big Data has arrived along with large volume, complex and growing data
generated by many distinct sources. Nowadays, nearly every aspect of the modern society is …

An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities

H Wang, Z Xu, W Pedrycz - Knowledge-Based Systems, 2017 - Elsevier
In the era of big data, we are facing with an immense volume and high velocity of data with
complex structures. Data can be produced by online and offline transactions, social …

A social ties-based approach for group decision-making problems with incomplete additive preference relations

Q Liang, X Liao, J Liu - Knowledge-Based Systems, 2017 - Elsevier
With the rapid growth of Web 2.0 technology, a new paradigm has been developed that
allows many users to participate in decision-making processes within online social …

The linguistic summarization and the interpretability, scalability of fuzzy representations of multilevel semantic structures of word-domains

CH Nguyen, TL Pham, TN Nguyen, CH Ho… - Microprocessors and …, 2021 - Elsevier
The effect of the linguistic (L-) summarization mined from a given dataset D by a human-
made method M strongly depends on the fuzzy sets constructed to represent the L-words of …

New concepts of picture fuzzy graphs with application

C Zuo, A Pal, A Dey - Mathematics, 2019 - mdpi.com
The picture fuzzy set is an efficient mathematical model to deal with uncertain real life
problems, in which a intuitionistic fuzzy set may fail to reveal satisfactory results. Picture …

Measure of influences in social networks

S Samanta, VK Dubey, B Sarkar - Applied Soft Computing, 2021 - Elsevier
Society may be assumed to be a combination of several small networks. Naturally, an
individual from one network is connected to several other networks (associated networks) …

Information granulation-based community detection for social networks

ED Raj, G Manogaran, G Srivastava… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Online social networks (OSNs) have become so popular that it has changed the Internet to a
more collaborative environment. Now, a third of the world's population participates in OSNs …

Clustering coefficients of large networks

Y Li, Y Shang, Y Yang - Information Sciences, 2017 - Elsevier
Let G be a network with n nodes and eigenvalues λ 1≥ λ 2≥⋅⋅⋅≥ λ n. Then G is called an
(n, d, λ)-network if it is d-regular and λ= max {| λ 2|,| λ 3|,⋯,| λ n|}. It is shown that if G is an (n …

Veracity handling and instance reduction in big data using interval type-2 fuzzy sets

AK Shukla, M Yadav, S Kumar, PK Muhuri - Engineering Applications of …, 2020 - Elsevier
Within the aspect of big data, veracity refers to the existing uncertainty in the dataset. The
continuous flow of unstructured data with unwanted noise may bring abnormality in the …

Soft and declarative fishing of information in big data lake

B Małysiak-Mrozek, M Stabla… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In recent years, many fields that experience a sudden proliferation of data, which increases
the volume of data that must be processed and the variety of formats the data is stored in …