While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy ass...
Peng Yan, Guoqing Chen, Chris Cornelis, Martine De...
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...
This paper presents a new method for dealing with fuzzy group decision-making problems based on interval linguistic labels. We propose the interval linguistic labels ordered weight...
The paper gives the solution of calculating maximal variance of fuzzy interval in the scope of the theory of imprecise probabilities. As it appears, this problem is more difficul...