Paper Info
Title
Evaluation Model of Industrial Operation Quality Under Multi-source Heterogeneous Data Information
Abstract
Constructing scientific evaluation system and evaluation methods to make timely quantitative evaluation for regional industrial operation quality is of great practical significance for expediting the new industrialization process and promoting the improvement of national economic operation quality. Aiming at the problem of evaluating the industrial operation quality, this paper constructs a new evaluation system from the perspective of industrial operation performance and industrial development potential, and then proposes a multi-source heterogeneous multi-attribute decision-making method based on the linguistic 2-tuple model to evaluate the industrial operation quality. In this method, the original multi-source heterogeneous data whereby real numbers, interval numbers, and linguistic fuzzy numbers coexist are all transformed into linguistic 2-tuples, then a new ranking method based on grey relational degree of linguistic 2-tuple matrix is presented to rank the level of industrial operation quality for the given cities. Further, a decision-making example of evaluating the industrial operation quality for 14 cities in Hunan Province of China is provided to highlight the implementation, availability, and feasibility of the proposed evaluation model.
Year
DOI
Venue
2020
10.1007/s40815-019-00776-x
International Journal of Fuzzy Systems
Keywords
DocType
Volume
Industrial operation, Quality evaluation, Multi-source heterogeneous data, Multi-source heterogeneous multi-attribute decision-making, Grey relational degree of linguistic 2-tuple matrix
Journal
22
Issue
ISSN
Citations 
2
1562-2479
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Qinzi Xiao131.09
Miyuan Shan200.34
Xinping Xiao3204.78
Congjun Rao400.34