Full Paper ACEEE Int. J. on Information Technology , Vol. 3, No. 3, Sept 2013
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attributes Mahdieh Khalilinezhad1, Ahmad Nadali*2, NiloufarDehghani3, Mohammad Ghazivakili4 1
Department of Computer Engineering, University of Qom,Qom, Iran Email: A.khalilinezhad@gmail.com 2 Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran *Corresponding Author Email: Nadali.ahmad@gmail.com 3 Department of Economics, University of Tehran, Tehran, Iran Email:Niloofar.dehghani68@gmail.com 4 Department of Telecommunications, Urmia Branch, Islamic Azad University, Urmia, Iran Email: M.ghazivakili@gmail.com
Index Terms- E-commerce, Internet Stores, Websites Attributes, Web site Assessment, Fuzzy Expert System.
focuses on designing an Expert System for evaluating success level of online shopping centers as Output based on criteria of websites as Input variables. Since the experts’ judgment isexplained with linguistic variables, using fuzzy functions and Fuzzy deduction system can be advantageous to build a knowledge base system for evaluating platforms new ideas. The remainder of this paper is organized as follows: In the next Section the concept of web evaluation is defined and criteria and methods of website assessment are highlighted. Methodology of Fuzzy Expert System is given in Section 3. In Section 4 the proposed system & empirical study are described. In Section 5 the results and discussion are presented. Finally the article conclusions are drawn in Section 6.
I. INTRODUCTION
II. THE LITERATURE REVIEW ON WEBSITE EVALUATION
In the last ten years, online shopping has become a prevalent part of the average consumer ’s shopping experience. The consumer now has the ability to purchase virtually anything online; ranging from small ticket items such as a rubber-band ball to big-ticket items like vacation homes. With this increase in theonline consumer’s purchasing power and propensity to purchase online, retailers have become increasingly willing to develop their e-commerce presence [1] Moreover, the explosion of the web has determined the need of measurement criteria to evaluate the aspects related to the quality in use, such as usability and accessibility of a web application. The objective is to make a website useful, profitable, and accessible [2]. Awareness of quality issues has recently affected every industrial sector. An organization with a website that is difficult to use and interact with gives a poor image on the Internet and weakness of an organization’s position. Therefore, it is important for any organization to have the ability to make an assessment of the quality of their e-business websites and services. In the last decade, numerous studies have focused on the designs of websites because the design of website is very critical to ebusiness success. Numerous practitioner reports and reviews have been published seeking to identify the good and bad features of websites. The purpose of this paper is to assess ecommerce websites based on web related attributes. This article mainly
A. The criteria of website evaluation As the dependency on web services increases, the need to assess characteristics with website quality and success increases. Websites characteristics are important; they have been a constant concern of research in different domains and they were widely studied in the e-commerce literature [2]. Website evaluation measures have been proposed in various contexts in recent years; researchers in this area struggle to determine important factors for evaluating online service and marketing.Business and commercial websites were studied from different perspectives. Some researchers investigated website features or factors that are critical to ebusiness success, in which they called them critical success factors [2]. In the context of e-commerce, [3] proposed an updated DeLone and McLean information system (IS) success model (henceforth referred to as the Delone and McLean model) and argued that website success is a multi-dimensional concept consisting of six interrelated variables – system quality, information quality, service quality, user satisfaction, system use, and net benefits. In that article taxonomy, system quality measures technical success, information quality measures semantic success, service quality measures customer service success, and user satisfaction, system use and net benefits are the measures of website effectiveness. Within Delone&MCLean model, system quality, information
Abstract—Purpose of this research is determining the success of online shopping stores by an intelligent system. Here a Fuzzy Expert System has been designed with the consideration of website attributes as input variables. The web site success level is determined in this system as output. The rules of systems have been extracted from some ecommerce experts and the systems have been developed with the use of FIS tool of MATLAB software. The final result contains an anticipating model for evaluating level of web site success of shopping centers based on website factors situation. The presented steps have been run in four online bookstores as the empirical study.
© 2013 ACEEE DOI: 01.IJIT.3.3.1143
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