RETRACTED ARTICLE: Combination Weighting Method of Engineering Disciplines Evaluation Index Based on Soft Computing

Abstract

The development of engineering disciplines is aided by research into constructing a characteristic index system, particularly when the blockchain technology is used. The key issue is how to choose multi-level evaluation indicators reasonably while also scientifically defining the weights of indicators at all levels. Subjective empowerment methods are insufficient in terms of subjective influence, whereas objective empowerment methods necessitate a large sample size, a practical problem domain, and complex calculation methods. In response to the need for characteristic index system construction and evaluation research, this paper identifies four first-level indicators, eleven second-level indicators, and twenty-one third-level indicators as the main evaluation dimensions including academic achievements, discipline strength, talent training, and international development. The proposed method combines the Fuzzy Analytic Hierarchy Process (AHP), based on triangular fuzzy numbers, with the critic weighting analysis method. It is establishing a multi-level evaluation index system to propose targeted combination weighting methods for the engineering disciplines. To avoid evaluation bias caused by the single use of subjective or objective weighting methods, the difference coefficient method is used for combined weighting based on subjective and objective information to calculate the weighting results. The experimental and modelling data show that the calculation and evaluation results of the algorithm proposed in this paper are promising and applicable in multiple domains where there is a hierarchy in the problem domain and multiple parameters participate in decision making. With the evaluation results of the proposed approach, the subjective weight obtained is 0.047, and the objective weight obtained is 0.253.

KEYWORDS:

• AHP
• Block chain
• Fuzzy
• IIoT

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Statement of Retraction: Combination Weighting Method of Engineering Disciplines Evaluation Index Based on Soft Computing

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Yongqiang Shuang

Yongqiang Shuang was born in January 1986. He got his dual B.S. degree in 2008 from Harbin Institute of Technology in radio and TV director (computer) and business administration. Then he was awarded his M.S. degree in 2010 from Harbin Institute of Technology, majoring in radio and TV arts (computer). Now he is pursuing a Ph.D. at Harbin Institute of Technology, majoring in administrative management. His research areas include reform of postgraduate education, discipline ranking, and cooperative education. He has published 6 academic papers. Meanwhile, he has participated in 6 research projects. Corresponding author. Email: [email protected]

Yunlong Ding

Yunlong Ding was born in January 1963. He got a B.S. degree in 1985 from Harbin Institute of Technology, majoring in metal materials and process. Then he received his M.S. in 1988 from Harbin Institute of Technology, majoring in dialectics of nature. He has been awarded a Ph.D. in Northeastern University, majoring in administrative management. His research areas include IT, science and technology management, materials and process management. He has published more than 100 academic papers. He has also participated in more than 20 research projects. Email: [email protected]