#### Filter Results:

- Full text PDF available (6)

#### Publication Year

2003

2017

- This year (1)
- Last 5 years (5)
- Last 10 years (10)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

-In this work we present the methods of creating the knowledge bases by using the theory of fuzzy systems as well as the probability and stochastic processes theory. We show that such knowledge-based systems can be applied in different diagnostic tasks. The structure of the reason-result fuzzy model is predefined by experts at the beginning of the task. The… (More)

The paper deals with an idea of a linguistic knowledge representation and a linguistic inference. Relational linguistic fuzzy model with weights of rules is utilising. The probability of linguistic values of antecedent and consequent variables, calculated according to Zadeh’s definition, is proposed to formulate a linguistic fuzzy model of a stochastic… (More)

The concepts of Soft Computing introduced by Lotfi A. Zadeh in 1991 has integrated different methodologies and approaches, as: fuzzy set theory, fuzzy logic, approximate reasoning, linguistic expression of knowledge, probabilistic reasoning, and others for solving problems of complex systems in the way similar to human perception, recognition and solving… (More)

- Anna Walaszek-Babiszewska, Katarzyna Rudnik
- Time Series Analysis, Modeling and Applications
- 2013

This paper presents a proposition of the knowledge representation and the inference procedure including two types of uncertainty: probabilistic and fuzzy. Added weights to the fuzzy rule-based model state probabilities of fuzzy events in antecedents and consequents. The exemplary calculations are presented. Key-Words: Fuzzy sets, Knowledge representation,… (More)

- Anna Walaszek-Babiszewska
- NAFIPS 2008 - 2008 Annual Meeting of the North…
- 2008

The paper deals with the ideas of a linguistic knowledge representation and a probability of fuzzy events. Linguistic fuzzy model with weights of rules is considered as a model of a probabilistic MISO system. The probabilities of linguistic values of antecedent and consequent variables are proposed as rule weights. The linguistic inference procedure and an… (More)

In the article the possibility of applying one of the methods of data mining – fuzzy association rules to model fuzzy systems is presented. The algorithm of automatic extracting knowledge base is a modification of the Apriori algorithm. The obtained rules of the model contain weights, that are calculated on the basis of measures of fuzzy association rules… (More)

- Anna Walaszek-Babiszewska
- 2013 IEEE 14th International Symposium on…
- 2013

This work deals with the creating probabilistic-fuzzy knowledge-based systems by using the theory of fuzzy systems as well as the probability and stochastic processes theory. We show that such systems can be applied in different diagnostic tasks. The structure of the reason-result fuzzy model has a form of weighted rules. Weights represent empirical… (More)