Object
Title: On Assessment of Performance of Systems by Combining On-the-Job and Expert Attributes Scales
Abstract:
We develop a methodology of assessment of performance of systems based on the following two methods: On-the-Job Competition Scales (JCS) method developed for measuring performance of competitive systems or their constituents by the original, used in practice criteria of their effectiveness and Logic Scoring of Preference (LSP) method where for evaluation of systems elementary criteria, expert attributes are used for assessment followed by their aggregation into a global quality indicator called global preferences. The methodology aimed to combine the strengths of LSP and JCS approaches while weakening some of their shortages to be applied to quantitative assessment of performances of competitive, education and software systems.
Identifier:
oai:noad.sci.am:136010
Language:
Affiliation:
Institute for Informatics and Automation Problems ; The Division of Computational and Cognitive Networks
Country:
Year:
Time period:
Conference title:
10 th International Conference on Computer Science and Information Technologies CSIT 2015
Place:
Participation type:
Object collections:
- Digital Library > Academic Insitutions > Insitute for Informatics and Automation Problems of NAS RA > Conferences
Last modified:
Mar 3, 2021
In our library since:
Jul 29, 2020
Number of object content hits:
558
All available object's versions:
https://noad.sci.am/publication/149630
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Show description in OAI-PMH format:
| Edition name | Date |
|---|---|
| Edward Pogossian, On Assessment of Performance of Systems by Combining On-the-Job and Expert Attributes Scales | Mar 3, 2021 |
