in this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. utilizing the generalized characterization theorem. then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. here neural network is considered as a part of large eld called n...

Risk assessment of urban network using traffic indicators determines vulnerable links with high danger of traffic incidents. Thus Determination of an appropriate methodology remains a big challenge to achieve this objective. This paper proposed a methodology based on data fusion concept using Fuzzy-AHP and TOPSIS to achieve this aim. The proposed methodology tries to overcome two main problems,...

The widespread use of the Internet has significantly changed the behavior of homebuyers. Using information technology, homebuyers can rapidly find an appropriate house that meets their needs. Although online real estate agents can screen out first based on homebuyers’ requirements, however, most of current online housing systems are of limited abilities, particularly without considering homebuy...

The risk response development is one of the main phases in the project risk management that has major impacts on a large-scale project’s success. Since projects are unique, and risks are dynamic through the life of the projects, it is necessary to formulate responses of the important risks. Conventional approaches tend to be less effective in dealing with the imprecise of the risk response deve...

Risk assessment is becoming increasingly important for railway signal system in order to safeguard their passengers and employees while improving safety and reducing maintenance costs. However, the application of risk assessment methods in railway signal system may not give satisfactory results because the risk data are incomplete or there is a high level of uncertainty involved in the risk dat...

Fuzzification of support vector machine has been utilized to deal with outlier and noise problem. This importance is achieved, by the means of fuzzy membership function, which is generally built based on the distance of the points to the class centroid. The focus of this research is twofold. Firstly, by taking the advantage of robust statistics in the fuzzy SVM, more emphasis on reducing the im...

The widespread use of the Internet has significantly changed the behavior of homebuyers. Using information technology, homebuyers can rapidly find an appropriate house that meets their needs. Although online real estate agents can screen out first based on homebuyers’ requirements, however, most of current online housing systems are of limited abilities, particularly without considering homebuy...

A risk matrix is a mechanism to characterize and rank process risks that are typically identified through one or more multifunctional reviews (e.g., process hazard analysis, audits, or incident investigation). This paper describes a procedure for developing a fuzzy risk matrix that may be used for emerging fuzzy logic applications in different safety analyses (e.g., LOPA). The fuzzification of ...