How well do you know your favorite computational model of cognition? Most likely your knowledge of its behavior has accrued from tests of its ability to mimic human data, what we call local analyses because performance is assessed in a speciÞc testing situation. Global model analysis by landscaping is an approach that “sketches” out the performance of a model at all of its parameter values, cre...

This paper discusses two topics on fuzzy random variables in decision making. One is a new evaluation method of fuzzy random variables, and the other is to present a mathematical model in financial engineering by fuzzy random variables. The evaluation method is introduced as mean values defined by fuzzy measures, and it is also applicable to fuzzy numbers and fuzzy stochastic process defined by...

in this paper, the portfolio selection problem is considered, where fuzziness and randomness appear simultaneously in optimization process. since return and dividend play an important role in such problems, a new model is developed in a mixed environment by incorporating fuzzy random variable as multi-objective nonlinear model. then a novel interactive approach is proposed to determine the pref...

The purpose of this paper is to describe an adaptive fuzzy cognitive map based on the random neural network model. The adaptive fuzzy cognitive map changes its fuzzy causal web as causal patterns change and as experts update their causal knowledge. We show how the adaptive random fuzzy cognitive map can reveal implications of models composed of dynamic processes.

Project planning is part of project management, which is relates to the use of schedules such as Gantt charts to plan and subsequently report progress within the project environment. Initially, the project scope is defined and the appropriate methods for completing the project are determined. In this paper a new approach for the critical path analyzing a project network with random fuzzy activi...

A fuzzy cognitive map is a graphical means of representing arbitrarily complex models of interrelations between concepts. The purpose of this paper is to describe a fuzzy cognitive map based on the random neural network model called the random fuzzy cognitive map, and to illustrate its application in the modeling of process. This model is based on the probability of activation of the neurons/co...

In the paper a new concept of modeling uncertainty is presented, based on the theory of fuzzy random variables. By this means, a super-ordinate uncertainty model is made available which includes the models developed so far, based on random variables and fuzzy variables as special cases. The fuzzy random variables are accounted for as input values in the fuzzy probabilistic structural analysis a...

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to da...