Functional solution of the knowledge level control problem: The principles of fuzzy logic rules and linguistic variables

Abbasov A. M., Shahbazova Ş.

Studies in Fuzziness and Soft Computing, vol.326, pp.25-38, 2015 (Scopus) identifier identifier

  • Nəşrin Növü: Article / Article
  • Cild: 326
  • Nəşr tarixi: 2015
  • Doi nömrəsi: 10.1007/978-3-319-19683-1_2
  • jurnalın adı: Studies in Fuzziness and Soft Computing
  • Jurnalın baxıldığı indekslər: Scopus
  • Səhifə sayı: pp.25-38
  • Açar sözlər: Complex systems, Decision making, Expert knowledge, Fuzzy logic, Neuro-fuzzy expert systems, Uncertainty
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Yox

Qısa məlumat

This paper addresses the problem of imitating a teacher evaluating the students’ levels of knowledge. It proposes application of fuzzy logic to construct and manage a knowledge control system used for generating evaluating questions. The system contains a knowledge base with relevant information and a set of rules. Students build the rules based on the analysis of answers and relevant reactions to questions. The algorithms governing the system allow for an automatic selection of sequences of appropriate and customized questions. The presented system for knowledge control and generating questions is comparable in quality and efficiency with the real teacher’s questioning process.