Recommendation System Using Fuzzy Logic for Tourism Management Using Django FrameWork

YEAR : 2022


Based on a fuzzy inference system, an approach for calculating the e-tourist attractiveness of the country as a tourist destination is proposed. We define here e-tourism attractiveness as the opinion of a tourist, formed on the basis of data obtained from various sources posted on the web. Assessment is based on publicly available data about the country, collected from travel and tourist websites. To collect the input data, an automated system for website scraping and data parsing is developed. For more effective data processing by experts, a hierarchical system is built. At the upper level, the inputs are aggregated into complex indicators of transport, tourism and entertainment infrastructure using the union of fuzzy sets.


System Requirements

Operating System : Windows 7,8,10 (64 bit)
Software : Python
Tools : Anaconda prompt (spyder)


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