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An improved TOPSIS approach for the competitiveness analysis of provincial information resource industries in China
Author(s) -
Qian Minghui,
Wang Yuxi,
Xu Wei,
Deng Hepu
Publication year - 2019
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/exsy.12407
Subject(s) - topsis , computer science , weighting , ideal solution , process (computing) , entropy (arrow of time) , order (exchange) , mahalanobis distance , china , resource (disambiguation) , operations research , environmental economics , business , economics , artificial intelligence , mathematics , computer network , political science , law , medicine , physics , finance , quantum mechanics , radiology , operating system , thermodynamics
The development of information resources industries is becoming increasingly important for improving the competitiveness of individual economies. As a result, effectively evaluating the performance of individual information resources industries becomes a critical problem that needs to be adequately addressed. This paper presents an improved Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) approach for evaluating the performance of provincial information resources industries in an objective manner in China. The concept of information entropy is appropriately used for determining the objective weighting of the evaluation criteria in the evaluation process. The Mahalanobis distance is adequately adopted for better reflecting the relative distance between individual alternatives and the idea solution in determining the overall performance of individual alternatives across all the evaluation criteria. This leads to the determination of consistent performance evaluation outcomes, which are better accepted by all the stakeholders in the evaluation process. An example of evaluating the competitiveness of provincial information resources industries in China is presented. The result shows that the improved TOPSIS approach is effective for evaluating the competitiveness of information resources industries in the real‐world setting.