Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...

This study aimed to provide marketing strategies based on the model and indicators of international life style and types of purchase decision making. Methodology of the research is descriptive-survey and it targeted to be applied research. Data were collected by both primary and secondary styles. Considering krejcie and Morgan’s table, statistical sample included 384 questionnaires for unlimite...

obviously, improving the road safety and the efficient allocation of limited resources to the provinces according to their ranking should be done. this paper presents a hybrid method of multivariate statistical analysis-decision making to evaluate iran road traffic safety. in order to solve the problems of road traffic safety, a macroscopic evaluation and traffic safety level classification in ...

there are many situations for statistical process in which we have both random and vagueinformation. when uncertainty is due to fuzziness of information, fuzzy statistical control charts play animportant role in the monitoring process, because they simultaneously deal with both kinds of uncertainty.dealing with fuzzy characteristics using classical methods may cause the loss of information and ...

the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...