Temat: fuzzy quantifiers - Prolib Integro

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Tytuł:: TRANSFORMATIONS OF LINGUISTIC AND NUMERICAL DATA IN THE COMPUTERISED DECISION SUPPORT SYSTEM
Autorzy:: Becker, Jaroslaw
Budzinski, Ryszard
Tematy:: linguistic and numerical data transformations
fuzzy quantifiers
computerised decision support system; Pokaż więcej
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Powiązania:: https://bibliotekanauki.pl/articles/453812.pdf Link otwiera się w nowym oknie
Opis:: The article discussed the issue of the bi-directional data transformation (from the linguistic form into numerical, and vice versa) in the computerised decision support system (DSS). The system uses multi-methodical research approach, which is to provide a simple and useful form of functionality of different, complementary decision support methods. Data transformations are based on the use of fuzzy set logic and specially developed for thus purpose scoring and linguistic scales of the ordinal nature.
Dostawca treści:: Biblioteka Nauki

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Tytuł:: A three-level aggregation model for evaluating software usability by fuzzy logic
Autorzy:: Rakovská, Eva
Hudec, Miroslav
Tematy:: measuring software usability
rule-based system
fuzzy quantifiers
aggregation function
questionnaire
system regułowy
kwantyfikator rozmyty
funkcja agregacji; Pokaż więcej
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:: https://bibliotekanauki.pl/articles/331401.pdf Link otwiera się w nowym oknie
Opis:: Rapid deployment of IT brings about new issues with software usability measurement. Usability is based on users’ experience and is strongly subjective, having a qualitative character. The users’ comfort is usually collected by surveys in their daily work. The present article stems from an experimental study related to the evaluation of the usability of tools by a rule-based system. The work suggests a robust computational model that will be able to avoid the main problems arising from the experimental study (a large and less-legible rule base) and to deal with the vagueness of IT user experience, different levels of skills and various numbers of filled questionnaires in different departments. The computational model is based on three hierarchical levels of aggregation supported by fuzzy logic. Choices for the most suitable aggregation functions in each level are advocated and illustrated with examples. The number of questions and granularity of answers in this approach can be adjusted to each user group, which could reduce the response burden and errors. Finally, the paper briefly describes further possibilities of the suggested approach.
Dostawca treści:: Biblioteka Nauki

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