multi attribute decision making methods are considered as one of the most useful methods for solving ranking problems. in some decision making problems, while the alternatives for corresponding criteria are compared in a pairwise comparison manner, if the criteria are inherently fuzzy, debates will arise in ranking alternatives due to the closeness of the values of the criteria. in this researc...

in the emerging supply chain environment, green supply chain risk management plays a significant role than ever. risk is an inherent uncertainty and has tendency to disrupt the typical green supply chain management (gscm) operations and eventually reduce the success rate of industries. in order to mitigate the consequences, a fuzzy multi-criteria group decision making modeling (fmcgdm) which co...

fuzzy measures are suitable in analyzing human subjective evaluation processes. several different strategies have been proposed for distance of fuzzy numbers. the distances introduced for fuzzy numbers can be categorized in two groups:1. the crisp distances which explain crisp values for the distance between two fuzzy numbers.2. the fuzzy distance which introduce a fuzzy distance for normal fuz...

Risk assessment is a popular and important tool in decision making process. Risk assessment is generally performed using models and model is a function of some parameters which are usually affected by uncertainty. Here, we consider that model parameters are affected by epistemic uncertainty. To represent epistemic uncertainty in general triangular fuzzy number or trapezoidal fuzzy numbers are u...

investigation of reliability characteristics under fuzzy environments is proposed in this paper. fuzzy weibull distribution and lifetimes of components are using it described. formulas of a fuzzy reliability function, fuzzy hazard function and their α-cut set are presented. furthermore, the fuzzy functions of series systems and parallel systems are discussed, respectively. finally, some numeric...

fuzzy linear programming problem occur in many elds such as mathematical modeling, control theory and management sciences, etc. in this paper we focus on a kind of linear programming with fuzzy numbers and variables namely fully fuzzy linear programming (fflp) problem, in which the constraints are in inequality forms. then a new method is proposed to ne the fuzzy solution for solving (fflp). ...

1. introduction flood is one of natural hazard which ranks the most one just like earthquake and drought according to the report of the natural hazard program of the united nations. besides physical factors, and lack proper management will increase the flood potential. therefore, in order to prevent flood damage it seems to be necessary to provide essential requirements before physical expansio...

Fuzzy linear regression models can provide an estimated fuzzy number that has a fuzzy membership function. If a point that has the highest membership value from the estimated fuzzy number is not within the support of the observed fuzzy membership function, a decisionmaker can have high risk from the estimate. In this study a new distance, between fuzzy numbers is proposed. On the basis of this ...

In order to safeguard the safety of passengers and reduce maintenance costs, it is necessary to analyze and evaluate the security risk of the Railway Signal System. However, the conventional Fuzzy Analytical Hierarchy Process (FAHP) can not describe the fuzziness and randomness of the judgment, accurately, and once the fuzzy sets are described using subjection degree function, the concept of fu...