Research Article

Dynamic Design Quality Evaluation of Power Enterprise Digital System Based on Fuzzy Information Axiom

Table 1

Research on digital system design quality.

AuthorEvaluation contentIndexes/dimensionsMethod/model

Fang [1]Design quality of software systemsControl area, coupling degree, degree of condensationAHP method
Ma et al. [2]Software qualityOperability, modifiability, and adaptabilityFuzzy theory
EnrĂ­quez et al. [3]Software qualityConcepts, design, production, support/use, generalQuEF methodology
Corbin et al. [4]Software designSystems engineering, software development, test, quality assurance, configuration management, data management, process groupEmpirical analysis
Jing et al. [5]Software qualityMetering, communication, freezing, event recording, load curve, reliabilityAnalytic hierarchy process
Liu [6]Software qualitySoftware operation, software modification, software transferGrey fixed weight clustering
Li et al. [7]Software qualityResponse time, database size, accuracy, language number, special clicks, dead links, update time and formatFuzzy triangular number fuzzy neural network
Yue and Zhang [8]Software qualityMaintainability, reliability, reusabilityImproved TOPSIS method
Jianli et al. [9]Software qualityFunctionality, reliability, ease of use and portabilityHesitant fuzzy sets and multiattribute decision making
Yu et al. [10]Software qualityFunctionality, reliability, ease of use, efficiency, maintainability, portabilityGeneralized intuitionistic fuzzy hybrid weighted averaging
Zhou et al. [11]Software qualityFunctionality, reliability, ease of use, efficiency, maintainability, portabilityImproved vague set method
Yue [12]Software qualityEfficiency, reliability, functionality, maintainabilityEntropy
Bao and Liu [13]Software qualityGeneral attributes, domain attributes, application attributesExpert method
Akay et al. [14]Conceptual design evaluation of adhesive tape dispenserNot about software or digital systemFuzzy information axiom