http://popups.lib.uliege.be/1373-5411/index.php?id=2913 Index terms fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=2912 Anticipatory systems can use for its activity not only simulation models but also models based on fuzzy sets mechanism of expressing uncertainty. Fuzzy sets models can be fruitful mainly in solving problems, in which some of the principal sources of uncertainty are nonstatistical in nature. Fuzzy sets are frequently replaced by fuzzy numbers mainly in the engineering applications for much simpler handling. A fuzzy number can be expressed by a number of different forms that are dependent on complex computation that the given forms can bring. There are also a number of described arithmetic approaches for basic fuzzy arithmetic operations. The paper tries to show how object oriented software can be helpful in the implementation of the different methods and different approaches of fuzzy arithmetic. Tue, 03 Sep 2024 15:49:57 +0200 Tue, 08 Oct 2024 14:00:55 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2912