DocumentCode
226483
Title
Specialized software for fuzzy natural logic and fuzzy transform applications
Author
Novak, Vilem ; Pavliska, Viktor ; Valasek, Radek
Author_Institution
Center of Excellence IT4Innovations, Univ. of Ostrava, Ostrava, Czech Republic
fYear
2014
fDate
6-11 July 2014
Firstpage
2337
Lastpage
2344
Abstract
In this paper, three special soft computing software systems are presented. The systems are based on the original results in two areas: fuzzy natural logic and fuzzy transform. The first software is LFL Controller that is a universal SW system that can be used in fuzzy or linguistic control, and in decision-making. The system implements results of fuzzy natural logic, namely the theory of evaluative linguistic expressions and perception-based logical deduction. This means the control or decision strategy are defined directly in natural language. Additionally, it can also realize classical fuzzy control on the basis of relational interpretation of fuzzy IF-THEN rules. This system has wide range of applications and was already applied in control of real plants. The second system is LFL Forecaster that is a specialized SW for analysis and forecasting of time series. The analysis is realized using F-transform and forecasting using results of fuzzy natural logic. The third system is FT-Studio that is a specialized SW for computation of fuzzy transform of functions that can be defined either using a formula, or given by data.
Keywords
fuzzy logic; fuzzy set theory; natural languages; software engineering; transforms; F-transform; FT-studio; LFL controller; LFL forecaster; decision-making; fuzzy IF-THEN rules; fuzzy control; fuzzy natural logic; fuzzy transform of functions; linguistic control; linguistic expression evaluation; natural language; perception-based logical deduction; special soft computing software systems; time series analysis; time series forecasting; universal SW system; Context; Fuzzy sets; Natural languages; Pragmatics; Software systems; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-2073-0
Type
conf
DOI
10.1109/FUZZ-IEEE.2014.6891565
Filename
6891565
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