A Comparison of the Manipulation of Certainty Factors by Individuals and Expert System Shells

Kopcso, David P.; Pipino, Leo L.; Rybolt, William

doi:10.1080/07421222.1988.11517817

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…e relationships among them, thus providing decision-support information for teaching departments, promote better teaching work and improve teaching quality [17]. Kopcso et al proposed that based on the concept of the working process and six resource packages, including industry resource package, professional resource package, and curriculum resource package, should be designed for vocal music teaching resource database in secondary vocational schools [18]. It is proposed that the construction of vocal music teaching resource base in secondary vocational schools is explored, and the implementation process is designed from the perspective of school-enterprise cooperation [19].…”

Section: Research On Teaching Resource Databasementioning

confidence: 99%

[Retracted] Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology

2022

Journal of Environmental and Public Health

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Vocal music teaching resource databases can support teachers’ instruction and students’ learning while also enhancing the school’s ability to run a school because they are the main components of digital construction for vocal music teaching. Currently, system application is the main area of research for DM (data mining), which was previously focused on method discovery. A vocal music teaching resource base based on DM technology is created by using the theme as the central organising principle, processing, and organising the resources. Incorporate lesson planning, teaching, self-study, and output resource construction into a digital network resource application environment by using thematic resource development. Students’ achievement data, personal basic information, and evaluation data are used for DM based on the enhanced Apriori algorithm in order to uncover hidden rules and find correlations between various factors. This information is then used to support decision-making. When the system load is 1, the results demonstrate that the Apriori algorithm’s CPU waste rate and task success rate is 0.144 and 0.896, respectively. The study’s conclusion demonstrates that integrating DM technology into the field of education is theoretically and practically possible and that there is significant room for future study and application in this area.

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Section: Research On Teaching Resource Databasementioning

confidence: 99%

[Retracted] Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology

2022

Journal of Environmental and Public Health

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“…Beyond the case study genre, Kopcso et al (1988) conducted an experiment in which they found that shells' interrule certainty results did not conform to human subjects' conjunctive intrarule certainty calculations. This result is, of course, consistent with the conventional mappings portrayed in Figure 1.…”

Section: Junctures In Inference Where Certainty Factorsmentioning

confidence: 99%

“…In surveying expert system development tools, one finds that multiple algebras exist for combining CFs within expert systems (Kopcso et al, 1988). Several of these are supported by numerous tools.…”

Section: Introductionmentioning

confidence: 99%

Certainty Factor Algebras: Comparing Conventional Mappings and Experimental Results

Holsapple

1994

Intelligent Systems in Accounting, Finance and Management

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Among the various means that have been advanced for handling uncertainty in expert systems, certainty factor (CF) approaches have been widely adopted in both individual expert system applications and shells for building such systems. Nevertheless, CF approaches have been challenged on analytical grounds. This paper examines the descriptive efficacy of CF approaches from an empirical standpoint. Specifically, it compares conventional CF methods for certaintycombining situations in a rule's premise with experimentally observed behaviors. The experimental data are subjected to 'hit' analyses that present the percentages of experts adhering to conventional algebraic means for combining CFs. The findings indicate that anywhere from about one-fourth up to nine-tenths of subjects combine certainties in a way consistent with CF algebras conventionally mapped into various certainty-combining situations. Put another way, conventional CF algebra mappings are inadequate for describing anywhere from 10% to 75% of human behaviors across the situations studied here. This empirical evidence suggests that knowledge engineers should be cautious about adopting conventional CF algebras, particularly under certain circumstances identified in this study. It also suggests the prudence of considering uncertainty treatments other than conventional certainty factor algebras.

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Classifying the uncertainty arithmetic of individuals using competitive learning neural networks

Kopcso

Pipino²,

Rybolt

1992

Expert Systems with Applications

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A Comparison of the Manipulation of Certainty Factors by Individuals and Expert System Shells

Cited by 4 publications

References 13 publications

[Retracted] Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology

[Retracted] Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology

Certainty Factor Algebras: Comparing Conventional Mappings and Experimental Results

Classifying the uncertainty arithmetic of individuals using competitive learning neural networks

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