Repository logo
  • English
  • Latviešu
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • Research Outputs
  • Projects
  • People
  • English
  • Latviešu
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Faculty of Engineering
  3. Scientific publications
  4. Scientific papers (IF)
  5. Decision Making Based on Possibility Theory
 
  • Details
Options

Decision Making Based on Possibility Theory

Journal
2022 63rd International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)
ISSN
979-8-3503-9985-1
Date Issued
2022
Author(s)
Oleg Uzhga-Rebrov
Rezekne Academy of Technologies 
Grabusts, Pēteris 
Rezekne Academy of Technologies 
DOI
10.1109/itms56974.2022.9937090
Abstract
In decision-making problems under risk, one of the main tasks is to evaluate the probabilities of the occurrence of such random events that affect the outcomes of alternative decisions. In some specific situations, due to the lack of initial information, it is difficult or even impossible to perform such evaluation. In this article we present an alternative approach to choosing decisions under uncertainty. This approach is based on the possibility theory, which is at the intersection of various developed theories of uncertainty: the theory of fuzzy sets, the theory of evidence and the theory of probabilities. Evaluating the possibilities of relevant events is a simpler task than evaluating the probabilities of these events. The article presents the conceptual foundations of the possibility theory. The use of this theory for decision making is demonstrated with a simple illustrative example.
Subjects
  • basic probability ass...

  • fuzzy restriction

  • possibility distribut...

  • possibility theory

File(s)
 Application of the Ontology Concept for the Needs of Theoretical Mechanics.pdf (444.26 KB)
Scopus© citations
0
Acquisition Date
Jan 12, 2024
View Details
google-scholar
Views
Downloads
User Guide
  • Documentation

© Rezekne Academy of Technologies

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback