Hamid Jafary - Ph.D. Student in Information Technology Management, Allameh Tabataba i University, Tehran, Iran
Mohammad Taghi Taghavifard - Corresponding Author: Associate Professor, College of Management and Accounting, Allameh Tabataba i University, Tehran, Iran
Payam Hanafizadeh - Associate Professor, College of Management and Accounting Management, Allameh Tabataba i University, Tehran, Iran
Abolfazl Kazazi - Profeesor, College of Management and Accounting Management, Allameh Tabataba i University, Tehran, Iran

Effective measurements and accurate analysis of the quality of news sites are the necessary steps to improve the sites performance and reporting methods. The purpose of this research is to propose an intelligent quality assessment method for news sites. The present study consists of two parts. In the first part Delphi techniqueas a qualitative method is used to identify the indicators for assessing the quality of news sitesIn this regard, 5 dimensions and 69 indicators as well as several sub-criteria from five perspectives of design and graphic design, content, technical system, services, and executive management of news sites were identified,. Subsequently, by the quality of 61 news sites, was calculated and the quality score of each site was obtained using a questionnaire. In the second part, a neural network model was designed, with 9 inputs and and one output. The results and the values of Mean Squared Error indicate the validity of the proposed model.

Intelligent, Evaluation, Service Quality, News Sites,, Neural Network, ANFIS