A fuzzy linear programming approach is taken to solve an extended mathematical linear programming model to handle two important problems in cellular manufacturing systems simultaneously: Cell formation and layout design. We seek to minimize the total cost of inter-cell and intra-cell (forward and backward) movements and the cost of machines. The fuzzy demand and fuzzy machine capacity are also ...

This paper investigates linear systems with polynomial dependence on time-invariant uncertainties constrained in the simplex via homogeneous parameter-dependent quadratic Lyapunov functions (HPD-QLFs). It is shown that a sufficient condition for establishing whether the system is either stable or unstable can be obtained by solving a generalized eigenvalue problem. Moreover, this condition is a...

Uncertain hypothesis test is a statistical tool that uses uncertainty theory to determine whether some hypotheses are correct or not based on observed data. As an application of uncertain test, this paper proposes method differential equation fits the data not. In order demonstrate method, numerical examples provided. Finally, both currency model and stochastic used US Dollar Chinese Yuan (USD–...

The problem of delay-dependent condition for a new class of Takagi-Sugeno (T-S) fuzzy Lurie control systems with time-delay and time-variant uncertainties is investigated in this paper, which is different from existing ones. We use T-S fuzzy models to describe Lurie system in the form of a weighted sum of some simple linear subsystems, and a new delay-dependent absolute stability criterion for ...

Chance theory is a mathematical methodology for dealing with indeterminatephenomena including uncertainty and randomness.Consequently, uncertain random variable is developed to describe the phenomena which involveuncertainty and randomness.Thus, uncertain random variable is a fundamental concept in chance theory.This paper provides some practical quantities to describe uncertain random variable...

Abstract This special issue of Cadernos EBAPE.BR sought to provoke a reflection focused on uncertain consumption practices in an future. While prior marketing and consumer research has explored framed by institutionalized, known, more or less predictable context, the set articles approved this edition reveals different nuances. From experiential accounts grief role music coping with struggles i...

Perturbed utility functions—the sum of expected utility and a nonlinear perturbation function—provide a simple and tractable way to model various sorts of stochastic choice. We provide two easily understood conditions each of which characterizes this representation: One condition generalizes the acyclicity condition used in revealed preference theory, and the other generalizes Luce’s IIA condit...

Abstract---This paper deals with the problem of decentralized robust control for a class of interconnected uncertain systems with state delays. The parameter uncertainties are unknown but norm-bounded. A new sufficient condition is obtained for each subsystem and overall system to be stabilizable via linear memoryless state feedback robust decentralized controllers. The results depend on the si...

In this article, a delay dependent memory robust model predictive control (RMPC) algorithm was proposed for uncertain polytopic state delay systems with input constraints. The state delay is time-varying with an upper and lower bound. We minimize a cost function by minimizing its upper bound for the proposed RMPC algorithm. A new sufficient condition, in accordance with LMI, is presented for co...