In this paper, we show that the necessity to make crisp decisions in uncertain (fuzzy) situations leads to the necessity to approximate fuzzy sets by crisp sets. We show that seemingly natural approximation ideas - such as using alpha-cut for a given alpha - often do not work, and we describe new approximations which not only work, but which are optimal in some reasonable sens
The notion of a fuzzy set stems from considering sets where, in the words of Zadeh, the "transition ...
10.1109/ICCAE.2010.54516882010 The 2nd International Conference on Computer and Automation Engineeri...
More realistic formulations of optimal control problems are proposed in the paper. Fuzzy seta are us...
Fuzzy sets have been originally introduced as generalizations of crisp sets, and this is how they ar...
AbstractThis paper aims to show how, by using a threshold-based approach, a path from imprecise info...
Abstract. While many objects and processes in the real world are discrete, from the computational vi...
While many objects and processes in the real world are discrete, from the computational viewpoint, d...
Our reasoning is clearly fuzzy, so why is crisp logic so often adequate? We explain this phenomenon ...
The choice of fuzzy set functions affects how well fuzzy systems approximate functions. The most com...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
A rough set ia a formal approximation of a crisp set which gives lower and upper approximation of or...
This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and ...
Abstract — Interval-valued fuzzy sets provide a more adequate description of uncertainty than tradit...
International audienceThere are two classical ways of viewing a fuzzy set in terms of a combination ...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
The notion of a fuzzy set stems from considering sets where, in the words of Zadeh, the "transition ...
10.1109/ICCAE.2010.54516882010 The 2nd International Conference on Computer and Automation Engineeri...
More realistic formulations of optimal control problems are proposed in the paper. Fuzzy seta are us...
Fuzzy sets have been originally introduced as generalizations of crisp sets, and this is how they ar...
AbstractThis paper aims to show how, by using a threshold-based approach, a path from imprecise info...
Abstract. While many objects and processes in the real world are discrete, from the computational vi...
While many objects and processes in the real world are discrete, from the computational viewpoint, d...
Our reasoning is clearly fuzzy, so why is crisp logic so often adequate? We explain this phenomenon ...
The choice of fuzzy set functions affects how well fuzzy systems approximate functions. The most com...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
A rough set ia a formal approximation of a crisp set which gives lower and upper approximation of or...
This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and ...
Abstract — Interval-valued fuzzy sets provide a more adequate description of uncertainty than tradit...
International audienceThere are two classical ways of viewing a fuzzy set in terms of a combination ...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
The notion of a fuzzy set stems from considering sets where, in the words of Zadeh, the "transition ...
10.1109/ICCAE.2010.54516882010 The 2nd International Conference on Computer and Automation Engineeri...
More realistic formulations of optimal control problems are proposed in the paper. Fuzzy seta are us...