Sz Kovacs

22034981100

Publications - 3

Evaluating the life quality of the built environment by FRI method

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2015-11-25

Volume: 2015-November

Issue: Unknown

Page Range: Unknown

Description:

The fuzzy rule interpolation (FRI) and the fuzzy signature methodology was successfully adapted for expressing the building condition. In this paper we extend this concept for estimating the life quality of the built environment, especially of the residential segment. The applied methodology is based on a hierarchical FRI as a straightforward implementation of the fuzzy signature concept. The paper also introduces some application details of a case study related to residential houses located in a historic district of Budapest, Hungary.

Open Access: Yes

DOI: 10.1109/FUZZ-IEEE.2015.7338029

Application of interpolation-based fuzzy logic reasoning in behaviour-based control structures

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2004-12-01

Volume: 3

Issue: Unknown

Page Range: 1543-1548

Description:

Some difficulties emerging during the construction of fuzzy behaviour-based control structures are inherited from the type of the applied fuzzy reasoning. The fuzzy rule base requested for many classical reasoning methods needed to be complete. In case of fetching fuzzy rules directly from expert knowledge e.g. for the behaviour coordination module, the way of building a complete rule base is not always straightforward. One simple solution for overcoming the necessity of the complete rule base is the application of interpolation-based fuzzy reasoning methods, since interpolation-based fuzzy reasoning methods can serve usable (interpolated) conclusion even if none of the existing rules is hit by the observation. These methods can save the expert from dealing with derivable rules and help to concentrate on cardinal actions only. For demonstrating the applicability of the interpolation-based fuzzy reasoning methods in behaviour-based control structures a simple interpolation-based fuzzy reasoning method and its adaptation for behaviour-based control will be introduced briefly in this paper.

Open Access: Yes

DOI: 10.1109/FUZZY.2004.1375404

Sparse fuzzy systems generation and fuzzy rule interpolation: A practical approach

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2003-07-11

Volume: 1

Issue: Unknown

Page Range: 494-499

Description:

In this paper, we explore the use of a sparse fuzzy system generation technique in conjunction with simple projection-based fuzzy rule interpolation, to generate sparse fuzzy systems with relatively few rules whilst still achieving reasonable system accuracy. Through setting a parameter value, the user is able to control, to some extent, the number of rules generated by the rule extraction technique. The rule interpolation approach enables the sparse fuzzy system to maintain a reasonable accuracy. The effectiveness of this approach is validated experimentally.

Open Access: Yes

DOI: DOI not available