Fuzzy Risk Analysis Model for E-tourism Investment
Authors
Abstract:
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 considered in the present study. These parameters are fuzzified and a fuzzy rule-base has 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.
similar resources
fuzzy risk analysis model for e-tourism investment
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 deve...
full textFuzzy model for risk analysis
The goal of this paper is to show how the concept of fuzzy logic can be used to establish a degree to which an investment project belongs to a class of risk. Also, the probability of the fuzzy event is presented and is ap-plied to calculate the probability of the fuzzy event “the project X is a good investment”. This process has to enable the decision maker to compare several alternative invest...
full textfuzzy model for risk analysis
the goal of this paper is to show how the concept of fuzzy logic can be used to establish a degree to which an investment project belongs to a class of risk. also, the probability of the fuzzy event is presented and is ap-plied to calculate the probability of the fuzzy event “the project x is a good investment”. this process has to enable the decision maker to compare several alternative invest...
full textRisk Analysis in E-commerce via Fuzzy Logic
This paper describes the development of a fuzzy decision support system (FDSS) for the assessment of risk in E-commerce (EC) development. A Web-based prototype FDSS is suggested to assist EC project managers in identifying potential EC risk factors and the corresponding project risks. A risk analysis model for EC development using a fuzzy set approach is proposed and incorporated into the FDSS....
full textE-Learning Investment Risk Management
E-learning markets have been expanding very rapidly. As a result, the involved senior managers are increasingly being confronted with the need to make significant investment decisions related to the e-learning business activities. Real options applications to risk management and investment evaluation of Information and Communication Technologies (ICT) have mainly focused on a single and a-prior...
full textFuzzy interval methods in investment risk appraisal
Standard .nancial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. This approach may account for what occurs most of the time in the market, but the picture it presents does not re2ect the reality, as major events happen in the residual time and investors are ‘surprised’ by ‘unexpected’ market movements. An alternative fuzzy approach permits 2uctu...
full textMy Resources
Journal title
volume 1 issue 2
pages 69- 76
publication date 2011-08-06
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023