in today world of internet, it is important to feedback the users based on what they demand. moreover, one of the important tasks in data mining is classification. today, there are several classification techniques in order to solve the classification problems like genetic algorithm, decision tree, bayesian and others. in this article, it is attempted to classify researchers to “expert” and “no...

Spare parts inventory management is one of the major areas of inventory research. Analysis of recent literature showed that an approach integrating spare parts classification, demand forecasting, and stock control policies is essential; however, adapting this integrated approach is limited. This work presents an integrated framework for spare part inventory management and an Excel based applica...

this study is an attempt to develop a model of the simultaneous structure of the aggregate dynamic supply and demand to be used for estimation of parameters from data related to iran’s economy. the method for developing the model is an application of the dynamic and simultaneous process of aggregate supply and demand. obtained differential equations are used for solve the model. to estimate the...

this paper focuses on the residential sector demand for electricity, natural gas and petroleum products (kerosene, gas oil and lpg) in iran in the context of a popular locally flexible functional forms - “the almost ideal demand system (aids)”. we pay explicit attention to the theoretical regularity conditions of positivity, monotonicity, and curvature. we treat the curvature property as a main...

the aim of this research is to analyse of empirical relationship of fiscal policy and iranian trade account in the years 1338-1385(1959-2006). in and econometrics model the methods of engle and granger (1987), johansen (1988), ardl, pessaran and shin(1998), philips and hansen(1990), have been used to find out the effects of variables such as government expenditures(the component of public deman...

forecasting of macroeconomic variables has specific importance in economic topics. indeed, different models are invented to forecast variables to help economic policy makers in adopting appropriate monetary and fiscal policies. in this paper, the performance of integrated model of input-output (io) and neural network is investigated in forecasting final demand and total production and the resul...

Demand for business intelligence solutions continues to grow in the industry at record rates to combat competitive pressures and to attain business agility. Still organizations continue to struggle on how to implement successful business intelligence solutions. Despite its growing popularity and maturity as a field, it appears that organizations follow key guidelines that ensure the failure of ...