Abstract. Many geographical applications need to model spatial phenomena with vague or indeterminate boundaries and interiors. A popular paradigm adopted by the GIS community for t...
Fuzzy Logic has traditionally found an application in control theory, systems analysis, and artificial intelligence [9] [7]. However, it is very difficult to apply it to tradition...
Luigi Benedicenti, Giancarlo Succi, Tullio Vernazz...
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
A fuzzy random variable is viewed as the imprecise observation of the outcomes in a random experiment. Since randomness and vagueness coexist in the same framework, it seems reaso...