Granular Computational Model Design for Multi-Scale Set-Value Decision-Making Information System
To provide a more comprehensive portrayal of complex information,the values of attributes of multivalued set-value information system objects are processed.A granular transformation structural model for multi-scale information systems is incorporated in the set-value decision-making information system.The mathematical portrayal of the granular computational structural model is given to construct a granular computational model for the multi-scale set-value decision-making information system,and then the optimal scale determination algorithm is proposed.The algorithm is used to analyze employee competence and quality assessment case.The assessment decision is formulated through the construction of the multi-scale set-value information system and divided into different scales.The system exhibits coordination characteristics.The optimal combination of scales can be found through the assessment.To perform the computational tasks,a smaller number of test data sets of secondary indicators are used for the assessment to ensure the accuracy of the assessment of the employee type and to control the amount of computation at a low level.The granular computational model of the multi-scale set-value decision-making information system shows significant value in both theoretical and practical applications.
Multi-scaleSet-value decision-making information systemGranular computational modelOptimal scale combinationAssessment decision-making
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