summary:An introduction to the worst scenario method is given. We start with an example and a general abstract scheme. An analysis of the method both on the continuous and approximate levels is discussed. We show a possible incorporation of the method into the fuzzy set theory. Finally, we present a survey of applications published during the last decade
Expert systems are well known area of artificial intelligence and have a huge impact in various fiel...
AbstractUncertainty is everywhere, and there are many researches on uncertain problems. Soft Computi...
Solving complex decision problems requires the usage of information from different sources. Usually ...
A great many problems in natural, technical, and social sciences can be solved by means of suitable...
summary:An introduction to the worst scenario method is given. We start with an example and a genera...
summary:An introduction to the worst scenario method is given. We start with an example and a genera...
Inputs entering a mathematical model are considered uncertain, i.e., they are not given in a crisp f...
summary:In practice, input data entering a state problem are almost always uncertain to some extent....
In this contribution, the worst scenario method is applied to problem described by nonlinear differe...
summary:The goal of this contribution is to introduce some approaches to uncertainty modeling in a w...
summary:The goal of this contribution is to introduce some approaches to uncertainty modeling in a w...
summary:The goal of this contribution is to introduce some approaches to uncertainty modeling in a w...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...
International audienceThis issue contains a selection of papers presented at the joint IFSA-EUSFLAT ...
Uncertainties enter into a complex problem from many sources: variability, errors, and lack of knowl...
Expert systems are well known area of artificial intelligence and have a huge impact in various fiel...
AbstractUncertainty is everywhere, and there are many researches on uncertain problems. Soft Computi...
Solving complex decision problems requires the usage of information from different sources. Usually ...
A great many problems in natural, technical, and social sciences can be solved by means of suitable...
summary:An introduction to the worst scenario method is given. We start with an example and a genera...
summary:An introduction to the worst scenario method is given. We start with an example and a genera...
Inputs entering a mathematical model are considered uncertain, i.e., they are not given in a crisp f...
summary:In practice, input data entering a state problem are almost always uncertain to some extent....
In this contribution, the worst scenario method is applied to problem described by nonlinear differe...
summary:The goal of this contribution is to introduce some approaches to uncertainty modeling in a w...
summary:The goal of this contribution is to introduce some approaches to uncertainty modeling in a w...
summary:The goal of this contribution is to introduce some approaches to uncertainty modeling in a w...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...
International audienceThis issue contains a selection of papers presented at the joint IFSA-EUSFLAT ...
Uncertainties enter into a complex problem from many sources: variability, errors, and lack of knowl...
Expert systems are well known area of artificial intelligence and have a huge impact in various fiel...
AbstractUncertainty is everywhere, and there are many researches on uncertain problems. Soft Computi...
Solving complex decision problems requires the usage of information from different sources. Usually ...
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