User Knowledge, Data Modelling, and Visualization: Handling through the Fuzzy Logic-Based Approach

Author:

Liao Xiaoqun1,Nazir Shah2ORCID,Zhou Yangbin3ORCID,Shafiq Muhammad4,Qi Xuelin3

Affiliation:

1. Information and Network Center, Xi’an University of Science and DSTechnology, Xi’an 710054, China

2. Department of Computer Science, University of Swabi, Swabi, Pakistan

3. State Grid Tibet Electric Power Co., Ltd, Lhasa, 850000, China

4. Cyberspace Institute of Advance Technology, Guangzhou University, Guangzhou, China

Abstract

In modern day technology, the level of knowledge is increasing day by day. This increase is in terms of volume, velocity, and variety. Understanding of such knowledge is a dire need of an individual to extract meaningful insight from it. With the advancement in computer and image-based technologies, visualization becomes one of the most significant platforms to extract, interpret, and communicate information. In data modelling, visualization is the process of extracting knowledge to reveal the detail data structure and process of data. The proposed study aim is to know about the user knowledge, data modelling, and visualization by handling through the fuzzy logic-based approach. The experimental setup is validated through the data user modelling dataset available in the UCI web repository. The results show that the model is effective and efficient in situations where uncertainty and complexity arise.

Funder

Science and Technology Project of State Grid

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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