Intelligent Information System for Simulation and Management Decision

EasyChair Preprint 14289

Abstract

Currently, intelligent decision support systems (IDSS) are widely used. Their main component is a knowledge base. Its adequacy determines the ability of the system to justify the recommended decisions, especially in conditions of diversity and incompleteness of input data. Research Methods: the methods of classification and systematization, fuzzy logic was used to solve the problems. The paper presents: a model of knowledge base structure, a model of intelligent information system for assessing the adequacy of the knowledge base, a set of rules for making managerial decisions. The results were tested in the Higher School of Intelligent Systems and Cybertechnologies.

Keyphrases: intelligent information system, knowledge bases, neuro-fuzzy models

@booklet{EasyChair:14289,
  author    = {Lyudmila Glukhova and Olga A. Filippova and Svetlana D. Syrotyuk and Svetlana Gudkova and Yuliya S. Munirova},
  title     = {Intelligent Information System for Simulation and Management Decision},
  howpublished = {EasyChair Preprint 14289},
  year      = {EasyChair, 2024}}