Grey Data Analysis

Most models in the current data analysis require perfect data without missing or incomplete data. However, the real-world data are in most cases are not perfect at all. Incomplete data are common in most situations. As a model dedicated to incomplete data, grey data analysis appears as a prospective model to deal with such data. This research originated from China during the 1970’s when China recovered from the cultural revolution. At that time, China faced a huge gap in available data in nearly all areas due to the significant interruption of the cultural revolution.
The theory of grey systems developed quickly in China and made a significant contribution to China’s economic boom from a seriously frozen economy. However, it is still relatively unknown outside China although it has achieved
significant success in China.


To further promote grey data analysis in the world, we successfully applied and secured an advanced Marie Curie International Incoming Fellowship in FP7 for Prof. Sifeng Liu to join us at DMU for 2 years during 2015-2016. In this
project, the international incoming research fellow, Prof. Sifeng Liu, has spent two years at De Montfort University conducting the proposed research together with Prof. Yingjie Yang. They have published over 30 research papers in academic journals and conferences.

The research is going to have a significant impact in the development of grey systems and data mining both in China and Europe. As a developing subject, there are still gaps in grey systems both in theoretical and applied research, and they have restricted its further development in Europe. The progress made in this project has showcased the feasibility of grey systems in data mining and its great potential with limited and poor data. Given the big data-oriented research in Europe, this project fills the gap for data mining with limited and poor data and will contribute greatly to those areas with limited and poor data, such as social economic analysis, healthcare, new product development, etc. It is valuable, especially for business and corporate decision-makers, public policy makers
and public system managers to obtain useful information from limited and poor information.

Prof. Liu and Prof. Yang have made a number of outreach activities to deliver visits, seminars, and training courses. For example, they have visited and delivered seminars at Napier University, South Bank University, Bucharest University of Economic Studies, Universidad Pablo de Olavide, Fuzhou University, Xiamen University, Lanzhou University, Shihezi University, Hebei University of Engineering, etc. They have also delivered several training courses at De Montfort University and Nanjing University of Aeronautics and Astronautics. Furthermore,
they organized the 2015 IEEE International Conference on Grey Systems and Intelligent Services at De Montfort University. They have also initiated the establishment of the International Association of Grey Systems and
Uncertainty Analysis in 2016. The results of this project will certainly help to establish a new subject in Europe and complement the existing big data initiatives.

Prof Liu has delivered a series of training events in grey systems at De Montfort University in 2015 and 2016, each training consisting of three days of intensive lectures, seminars and discussion sessions. The scientist in charge, Prof. Yingjie Yang, has also delivered equivalent training at Nanjing University of Aeronautics and Astronautics in 2015 and 2016 on uncertainty modeling. In addition to these training events, Prof. Liu has also been involved in PhD
supervision at De Montfort University (Archie Singh), Prof. Liu has contributed to research meetings at DMU and attended training sessions organized by DMU. As an active member, Prof. Liu has enjoyed close integration at DMU and participated in our research life actively. Prof. Yang and Prof. Liu had jointly supervision several PhD students at Grey Data Analysis

DMU and the University of Aeronautics and Astronautics (Archie Khuman, Lifeng Wu, and Xiaojun Guo). Prof. Liu has also brought several visiting scholars from China to De Montfort University (Lifeng Wu, Chong Li and
Mingli Hu). Prof. Yang and Prof. Liu have also initialized several research proposal applications involving both European partners and Chinese partners.

The project has turned out to be a huge success. In the 2017 MSCA competition, The fellow, Prof. Sifeng Liu, has been ranked as one of the top 10 in Europe for his work in this project.

http://www.dmu.ac.uk/research/researchfaculties-and-institutes/technology/cci/projects/grey-systems-data-mining-anddecision-support

Prof. Liu has also been cited as one of the few Chinese scholars who had a significant impact on the world in Merkel’s speech in China in 2019.

The great success of the project has also attracted attention from industry in the world. For example, Surbana Jurong Consultants Pte Ltd from Singapore invited Prof. Yang to carry out a consultant project with DMU in 2018 where grey systems are applied to their data mining and decision-making practice.

IOCT is part of a pioneering team to shape how audiences experience live performance

The lnstitute of Creative Technologies is part of
a unique team of creative industry specialists
who are working together to discover the next
stage of immersive performance experiences
for audiences around the world. DMU is one
of 15 specialist organisations taking part in
the Innovate UK project, which is being led
by the Royal Shakespeare Company (RSC)
and also includes Epic Games, i2 Media
Research Limited, Intel, Magic Leap, Manchester
International Festival, Marshmallow Laser Feast,
Nesta, Phi Centre, Philharmonia Orchestra,
Punchdrunk, University of Portsmouth and
The Space.

The £16 million investment is a key element of
the Audience of the Future programme, part of
the government Industrial Strategy Challenge
Fund, which is delivered by UK Research
and Innovation and was announced by the
government in March 2018 in the Creative
Industries Sector Deal. The consortium will
use their knowledge and expertise in theatre
and performance, the music industry, video
production, gaming and the research sector
to shape how audiences will experience live
performance in the future.

A transdisciplinary team of researchers from the
Institute of Creative Technologies are working
across digital performance, game development,
computer visualisation and creative AI, to
explore how technologies such as augmented
reality (AR), virtual reality (VR) and mixed reality
(MR) can be used in both the production
and reception of live performances. This
research is defining new audience experiences,
implementing new technologies, exploring
new commercial revenues and supporting
the UK’s growth in creative content, products
and services. This significant collaboration will
uncover the potential of real-time immersive
performance connected across multiple
platforms, creating opportunities for the UK

cultural sector to change the way audiences
experience live performance. Audiences will
no longer be bound by traditional performance
locations, but by using devices such as mobile
phones, Extended Reality (XR) headsets
and streaming into the home, audiences
will experience live performance like never
before. This has become especially relevant in
supporting organisation