An improved TOPSIS approach for the competitiveness analysis of provincial information resource industries in China-Reference-Cited by-同舟云学术

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An improved TOPSIS approach for the competitiveness analysis of provincial information resource industries in China

Published:2019-04-26 Issue:4 Volume:36 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Qian Minghui¹,Wang Yuxi²^ORCID,Xu Wei³⁴,Deng Hepu⁵

Affiliation:

1. School of Information Resource ManagementRenmin University of China Beijing China

2. School of BusinessRenmin University of China Beijing China

3. School of InformationRenmin University of China Beijing China

4. Smart City Research CenterRenmin University of China Beijing China

5. School of Business Information Technology and LogisticsMelbourneRMIT University Victoria Australia

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12407

Reference32 articles.

1. Measures of international competitiveness: A critical survey∗ †

2. Evaluating airline competitiveness using multiattribute decision making

3. Assessing the competitiveness of insurance corporations using fuzzy correlation analysis and improved fuzzy modified TOPSIS

4. Competitiveness analysis of automotive industry in Turkey using Bayesian networks

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1. Study on site selection evaluation of emergency material storage based on improved TOPSIS;Kybernetes;2024-05-22

2. Research on Capacities to Undertake the Automobile Manufacturing Industry of Cities in Hebei Province Based on Entropy-TOPSIS Model;Economics and Finance Readings;2024

3. Development of a new hesitant fuzzy ranking model for NTMP ranking problem;Soft Computing;2021-10-14

4. A Fuzzy Approach for Ranking Discrete Multi-Attribute Alternatives under Uncertainty;Mathematics;2020-06-08

5. A New Index for TOPSIS based on Relative Distance to Best and Worst Points;International Journal of Information Technology & Decision Making;2020-05

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