Decision making in intelligent training-testing systems based on mixed diagnostic texts

A. E. Yankovskaya, M. E. Semenov

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The problem of decision making in training-testing systems using fuzzy-logic elements is discussed. The authors present the background and formulate the problem. The technique for passing training, testing, and controlling is described. An informal description of the algorithm for constructing mixed diagnostic tests during simultaneous decision making is given. The use of an intelligent training-testing system constructed on the basis of the IMSLOG software tool is proposed.

Original languageEnglish
Pages (from-to)329-336
Number of pages8
JournalScientific and Technical Information Processing
Volume40
Issue number6
DOIs
Publication statusPublished - 1 Jan 2013

Keywords

  • decision making
  • didactic units
  • fuzzy logic
  • intelligent training-testing system
  • mixed diagnostic tests
  • student
  • uncertainty

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Decision making in intelligent training-testing systems based on mixed diagnostic texts'. Together they form a unique fingerprint.

  • Cite this