D
Daji Ergu
Researcher at University of Electronic Science and Technology of China
Publications - 23
Citations - 1008
Daji Ergu is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Matrix (mathematics) & Computer science. The author has an hindex of 7, co-authored 14 publications receiving 894 citations. Previous affiliations of Daji Ergu include Southwest University for Nationalities.
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The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment
TL;DR: A model for task-oriented resource allocation in a cloud computing environment where an induced bias matrix is used to identify the inconsistent elements and improve the consistency ratio when conflicting weights in various tasks are assigned is proposed.
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Enhancing data consistency in decision matrix: Adapting Hadamard model to mitigate judgment contradiction
TL;DR: A Hadamard product induced bias matrix model is proposed, which only requires the use of the data in the original matrix to identify and adjust the cardinally inconsistent element(s) in a PCM and significantly enhances matrix consistency and improves the reliability of PCM decision making.
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A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP
TL;DR: A simple method, which combines the theorem of matrix multiplication, vectors dot product, and the definition of consistent pair-wise comparison matrix, to identify the inconsistent elements is proposed and the correctness of the proposed method is proved mathematically.
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Analytic network process in risk assessment and decision analysis
TL;DR: A maximum eigenvalue threshold is proposed as the consistency index for the ANP in risk assessment and decision analysis and a block diagonal matrix is introduced for the RPCM to conduct consistency tests simultaneously for all comparison matrices.
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Questionnaire design improvement and missing item scores estimation for rapid and efficient decision making
Daji Ergu,Daji Ergu,Gang Kou +2 more
TL;DR: A scale format is used to design the score items for a comparison matrix in questionnaire survey and an induced bias matrix model (IBMM) is proposed to estimate the missing item scores of the reciprocal pairwise comparison matrix.