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fuzzy-stochastic

Lebesgues Stieltjes Integrals of Fuzzy Stochastic Processes with Respect to Finite Variation Processes

Lebesgues Stieltjes Integrals of Fuzzy Stochastic Processes with Respect to Finite Variation Processes

... real stochastic processes with respect to fuzzy va- lued stochastic ...of fuzzy stochastic processes with re- spect to time t and Brownian motion were ...of fuzzy sto- chastic ...

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Fuzzy Stochastic Linear Programming Problems With Uncertainty Probability Distribution

Fuzzy Stochastic Linear Programming Problems With Uncertainty Probability Distribution

... In many real states, one think that there are true probabilities distributions describe the dissimilar random phenomenal exist, but not able to determine their strict values, so must deal with those phenomena as a ...

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A hybrid fuzzy stochastic analytical hierarchy process (FSAHP) approach for evaluating ballast water treatment technologies

A hybrid fuzzy stochastic analytical hierarchy process (FSAHP) approach for evaluating ballast water treatment technologies

... a fuzzy-stochastic-interval linear programming (FSILP) approach for supporting municipal solid waste management by tackling uncertainties expressed in normal probability distributions, fuzzy mem- ...

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Approximate controllability result for nonlinear impulsive neutral fuzzy stochastic differential equations with nonlocal conditions

Approximate controllability result for nonlinear impulsive neutral fuzzy stochastic differential equations with nonlocal conditions

... of fuzzy differential systems, likewise approximate controllability of backward stochastic evolution equations in Hilbert space as discussed in ...and stochastic systems with unbounded ...neutral ...

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Comparison of defuzzification methods for fuzzy stochastic linear programming

Comparison of defuzzification methods for fuzzy stochastic linear programming

... on fuzzy stochastic linear programming can be found up to date (Giri, Maiti and Maiti, 2014; Sakawa, Katagiri, and Matsu, 2014; Wang, and Watada, ...of fuzzy transformation and defuzzification ...

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Controllability Result for Nonlocal Nonlinear Impulsive Fuzzy Stochastic Differential Systems

Controllability Result for Nonlocal Nonlinear Impulsive Fuzzy Stochastic Differential Systems

... The problem of controllability is to show the existence ofa control function, which steers the solution of the system from its initial state to afinal state, where the initial and final states may vary over the entire ...

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A New Approach on Orderings of Triangular Fuzzy Random Variables

A New Approach on Orderings of Triangular Fuzzy Random Variables

... triangular fuzzy random variables with parameters mean µ and standard deviation σ, based on Kwakernaak’s fuzzy random ...the fuzzy analogue of stochastic orderings of random ...triangular ...

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Periodic and continuous inventory models in the presence of fuzzy costs   Pages 179-192
		 Download PDF

Periodic and continuous inventory models in the presence of fuzzy costs Pages 179-192 Download PDF

... triangular fuzzy numbers. They used the fuzzy proposition method to obtain the optimal order ...shape fuzzy number when demand is ...by fuzzy numbers, where they used interval mean value ...

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MODELING AND SIMULATION OF GRID CONNECTED PHOTOVOLTAIC DISTRIBUTED GENERATION 
SYSTEM

MODELING AND SIMULATION OF GRID CONNECTED PHOTOVOLTAIC DISTRIBUTED GENERATION SYSTEM

... of fuzzy sets theory and the transformation from a probability distribution to its possibility ...a stochastic volatility to a volatility described by a fuzzy ...a fuzzy stochastic ...

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Stability analysis for impulsive stochastic fuzzy p-Laplace dynamic equations under Neumann or Dirichlet boundary condition

Stability analysis for impulsive stochastic fuzzy p-Laplace dynamic equations under Neumann or Dirichlet boundary condition

... jumping stochastic fuzzy p-Laplace partial differential equations (PDEs) is ...by fuzzy stochastic mathematical model and impulsive model have been ...global stochastic exponential ...

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Fuzzy Random Linear Optimization under Possibilistic Downside Risk Measures: Minimization of Possibilistic Low Partial Moment

Fuzzy Random Linear Optimization under Possibilistic Downside Risk Measures: Minimization of Possibilistic Low Partial Moment

... discrete fuzzy random variables. To take into consideration downside risk in fuzzy stochastic environments, we have proposed new models based on low partial moment using possibility and necessity ...

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On Fuzzy Random Valued Optimization

On Fuzzy Random Valued Optimization

... Fuzzy Stochastic Optimization (FSO) is a worthwhile ...and fuzzy variables [1]; Renewal processes where inter-arri- val times are only known as subjective categories of the form; almost 3 hours, ...

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A fuzzy c-means bi-sonar-based Metaheuristic Optimization Algorithm

A fuzzy c-means bi-sonar-based Metaheuristic Optimization Algorithm

... of stochastic algorithms. The fuzzy c-means algorithm is sensitive to initialization and is easily trapped in local ...a stochastic tool which could be implemented and applied easily to solve various ...

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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR 
INDUCTION MOTOR SPEED CONTROLLER

RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER

... a stochastic optimization technique called fuzzy particle swarm optimization (FPSO) is presented to determine an optimum set of microstrip antenna arrays excitation weights (amplitude and phase), the use of ...

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A New Optimization Framework To Solve The Optimal Feeder Reconfiguration And Capacitor Placement Problems

A New Optimization Framework To Solve The Optimal Feeder Reconfiguration And Capacitor Placement Problems

... Finally, the simulation results of the stochastic analysis are provided considering the uncertainty of active and reactive loads. The simulation results are shown in Table 6. For better comparison, the results of ...

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Asymmetry width probabilistic fuzzy logic system for rigid flexible manipulator modeling

Asymmetry width probabilistic fuzzy logic system for rigid flexible manipulator modeling

... probabilistic fuzzy set (PFS) and probabilistic fuzzy logic system is designed for handling the uncertainties with stochastic and nonstochastic ...probabilistic fuzzy set is proposed by ...

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PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON 
LRIC AND LOAD GROWTH CONTROL

PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL

... Analytic hierarchy process (AHP) treats a complex decision-making problem with multiple objectives as a system. It divides the objective to individual objectives or principle, and then calculates the ranking by ...

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A new method for solving fuzzy DEA models

A new method for solving fuzzy DEA models

... interval, fuzzy, ...with stochastic data have been assessed and have thus dened the stochastic ecient ...ranking stochastic e- cient DMUs with stochastic data has been ...inecient ...

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Robust Finite Time H∞ Filtering for Discrete Time Markov Jump Stochastic Systems

Robust Finite Time H∞ Filtering for Discrete Time Markov Jump Stochastic Systems

... In this section we address the problems of admissibly finite-time stochastic sta- bility analysis and the filter design of the discrete-time Markov Jump stochastic system. A sufficient condition of the ...

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An Interactive Fuzzy Satisficing Method for Multiobjective Stochastic Integer Programming with Simple Recourse

An Interactive Fuzzy Satisficing Method for Multiobjective Stochastic Integer Programming with Simple Recourse

... and fuzzy programming. Stochastic programming, as an optimization method on the basis of the probability theory, has been developing in various ways [1-5], including two stage problem by [6], and chance ...

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