چکیده:
This paper provides a Fuzzy based decision support system (DSS) for risk analysis in E-tourism ( Electronic Tourism ) investment. In general term, E-tourism is the use of information and communication technology (ICT) in tourism which may allow operating tourism in least variable cost, least time and increased work efficiency. It is worth noting that there are many factors that affect the development of E-tourism. To demonstrate the effectiveness of the system, four factors of investment, human IT skill, E-tourism infrastructure and stability of the regions are con sidered in the present study. These parameters are fuzzified and a fuzzy rule-base h as been developed for calculating risk factor for the E-tourism investment. The researchers used MATLAB software for fuzzifying the factors and gain the final risk. Case studies have been presented using the developed model. It shows that the investment possibility in developed region is high with low risk to invest.
خلاصه ماشینی:
Samizadeh 1* Department of Information Technology Management, School of Management and Economics, Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran 2 Department of Computer Engineering, School of Computer Engineering, AL Zahra University, Tehran, Iran Received 5 April 20 11, Accepted 18 June 2 011 This paper provides a Fuzzy based decision support system (DSS) for risk analysis in E-tourism ( Electronic Tourism ) investment.
These parameters are fuzzified and a fuzzy rule-base h as been developed for calculating risk factor for the E-tourism investment.
AB S T R A CT: Ke y w o r d s : Tourism, E-tourism, DSS, Fuzzy decision support system, Risk analysis INTRODUCTION Tourism plays a crucial role in developing and underdeveloped coun tries for foreign exch ange earnings and employment generation.
First it investigates e-tourism development problems in the context of developing countries by investigating the influencing factors, then describes and calculates them before give them as input to the fuzzy system to determine the final risk.
2- Suggesting an analysis model for the risks involved in E-Tourism investment based on fuzzy logic.
Based on these assumptions a formula is derived using weights given in three sectors of investment with respect to percentage of total investment amount available for investment in E-tourism.
C. In f r a s t r u c t u r e Infrastructure is another input factor used in the proposed E-tourism investment risk analyzer.
For the proposed E-tourism investment risk analyzer, fuzzy rules with two parts an antecedent as an input and consequent as an output are used.