Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

Session: Decision Analysis and Support in Risk Management with Soft Computing

5 articles
Proceedings Article

A fuzzy tri-level decision making algorithm and its application in supply chain

Zhen Zhang, Guangquan Zhang, Jie Lu, Chonghui Guo
In this paper, we develop a fuzzy tri-level decision making (FTLDM) model to deal with decentralized decision making problems with three levels of decision makers. Based on the -cut of fuzzy set, we transform an FTLDM problem into a multi-objective multi-follower tri-level decision making problem. Based...
Proceedings Article

Evaluation and interval approximation of fuzzy quantities

Luca Anzilli, Gisella Facchinetti, Giovanni Mastroleo
In this paper we present a general framework to face the problem of evaluate fuzzy quantities. A fuzzy quantity is a fuzzy set that may be non normal and/or non convex. This new formulation contains as particular cases the ones proposed by Fortemps and Roubens (1996), Yager and Filev (1981,1999) and...
Proceedings Article

Forecasting Exchange Rates with Fuzzy Granular Evolving Modeling for Trading Strategies

Leandro Maciel, Fernando Gomide, Rosangela Ballini
This paper addresses a fuzzy set based evolving modeling (FBeM) approach and the task of forecasting exchange rates in order to perform trading strategies. FBeM is a granular computing technique that uses fuzzy information granules to model nonstationary functions providing functional and linguistic...
Proceedings Article

About Relation between the Measure of Conflict and Decreasing of Ignorance in Theory of Evidence

Alexander Lepskiy
The conflict measure and index of decreasing of igno-rance in frame of Dempster-Shafer theory are intro-duced. Those functionals are analyzed on the bodies of evidences of special type. It is shown that the great correlation between the bodies of evidence is a sufficient condition of decreasing of ignorance...
Proceedings Article

Fuzzy Dissimilarity-Based Classification for Disaster Initial Assessment

J. Tinguaro Rodríguez, Begoña Vitoriano, Javier Montero
conditional probabilities for handling probabilistic fuzzy IF-THEN rules. We show by some examples how this interpretation can help when fuzzy and statistical information need to be combined and the available probabilistic information on the fuzzy events is possibly imprecise or incomplete.