Friday , 18 September 2020
roen

Art. 02 – Vol. 23 – No. 3 – 2013

Degrees of Contradiction for Fuzzy Logic Rules implementing
Computer Architecture Ontologies

Lucian Vintan
lucian.vintan@ulbsibiu.roo

National Institute for Reasearch & Development in Informatics, ICI Bucharest

Abstract: The main aim of this short note is to analyze some degrees of contradiction for two CNF fuzzy rules and to suggest some possible useful software implementations, especially for Multi-Objective Optimization through Automatic Design Space Exploration applied in Advanced Computer Architecture research. Particularly, automatically calculating the degrees of contradiction for domain ontologies represented using fuzzy logic rules – like that proposed in [4] – would be of certain scientific interest.

Keywords: Fuzzy logic rules, Similarity/Dissimilarity Metrics, Degree of Contradiction, Computer Architecture

References:

  1. BEG, I.; ASHRAF, S.: Similarity Measures for Fuzzy Sets. Appl. and Comput. Math., V.8, No.2, 2009, pp.192-202.
  2. CARMONA, P.; ZURITA, J.: Contradiction sensitive fuzzy model-based adaptive control. EUSFLAT-ESTYLF Joint Conf. 1999: 79-82.

View full article

 

  1. CASTINEIRA, E.; CUBILLO, S.; BELLIDO S.: Degrees of Contradiction in Fuzzy Sets Theory. Proceedings IPMU’02, Annecy (France), 2002, pp. 171-176.
  2. GELLÉRT, Á.; CALBOREAN, H.; VINŢAN, L.; FLOREA, A.: Multi-Objective Optimizations for a Superscalar Architecture with Selective Value Prediction. IET Computers & Digital Techniques, United Kingdom, Vol. 6, Issue 4, ISSN: 1751-8601, 2012, pp. 205-213.
  3. CALBOREAN, H.; JAHR, R.; UNGERER, T.; VINTAN, L.: A Comparison of MultiObjective Algorithms for the Automatic Design Space Exploration of a Superscalar System. Advances in Intelligent Control Systems and Computer Science. Advances in Intelligent Systems and Computing, Volume 187, Springer Berlin Heidelberg, 2013, pp. 489-502.