This paper considers new downside risk-aversion models for linear optimization (linear programming) with discrete fuzzy random variables. Through new downside risk measures for fuzzy stochastic optimization problems, possibilistic low partial moment (PLPM) models are constructed by incorporating possibility and necessity measures into classical low partial moment. To provide practical models, t...

†University of Sfax, National Engineering School of Sfax, Control and Energy Management Laboratory, Sfax, BPW 30308, Tunisia Summary The human iris is attracting a lot of attention leading to an increased demand for a robust and reliable iris-based recognition system. However, typical systems have random performances which can be efficient for some contexts and not for others. Generally, in rea...

AbstructTraditionally, prototype-based fuzzy clustering algorithms such as the Fuzzy C Means (FCM) algorithm have been used to find “compact” or “filled” clusters. Recently, there have been attempts to generalize such algorithms to the case of hollow or “shell-like” clusters, i.e., clusters that lie in subspaces of feature space. The shell clustering approach provides a powerful means to solve ...

Bayesian games offer a suitable framework for where the utility degrees are additive in essence. This approach does nevertheless not apply to ordinal games, do capture more than ranking, nor situations of decision under qualitative uncertainty. The present paper proposes representation possibilistic incomplete information and extends fundamental notions pure mixed Nash equilibrium this framewor...

This paper is an attempt to cast both uncertainty and time in a logical framework. It generalizes possibilistic logic, previously developed by the authors, where each classical formula is associated with a weight which obeys the laws of possibility theory. In the possibilistic temporal logic we present here, each formula is associated with a time set (a fuzzy set in the more general case) which...

In possibility theory, there are two kinds of possibilistic causal networks depending if possibilistic conditioning is based on the minimum or on the product operator. Similarly there are also two kinds of possibilistic logic: standard (min-based) possibilistic logic and quantitative (product-based) possibilistic logic. Recently, several equivalent transformations between standard possibilistic...

Gas-fired power plants are commonly employed to deal with the intermittency of renewable energy resources due their flexible characteristics. Therefore, in system transmits gas through gas-fired plants, which makes operation these systems even more interdependent. This study proposes a novel possibilistic model for integrated and presence electric vehicles demand response. The takes into accoun...