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https://www.researchgate.net/publication/224171664_Intelligent_decision_support_system_for_tourism_destination_choice_A_preliminary_study
Request PDF Intelligent decision support system for tourism destination choice: A preliminary study The World Tourism Organization defines tourists as people "who travel to and stay in places ...
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005561594
This paper describes a research and development of an intelligent decision support system for tourism destination choice. A prototype system called tourism advisory system (TAS) is proposed to assist tourists in planning their travel using fuzzy logic approach. Selected practitioners in tourism industry and potential users will be invited to participate in testing system to evaluate the performance of the system.
http://eprints.bournemouth.ac.uk/30571/1/THIENGBURANATHUM%2C%20Pree_Ph.D._2018.pdf
decisions. To support high scalability, the system is evaluated with a huge body of real-world data collected from a case-study city . Destination choice models were developed and evaluated . Experimental results show that our proposed model-based DRS achieves good performance
https://www.researchgate.net/publication/3454057_Intelligent_Systems_for_Tourism
Findings The technological advancements play a structural role in tourist decision-making processes, with digital technologies and cyber-physical systems becoming extensions of a tourist’s self.
http://www.iraj.in/journal/journal_file/journal_pdf/3-218-145413411752-57.pdf
Aim of this paper is to determine the tourism plan using intelligent decision support system for defining tourism location. In this case, the methods to support a decision of tourism plan deploy K-Means clustering algorithm and TOPSIS method which provide a data grouping and tourism location lists to the tourists.
https://www.iby.it/turismo/papers/baggio-dss-tourism.pdf
count innumerable applications. Among these, Decision Support Systems (DSS) can play a fundamental role for their capacity to give organizations and people managing tourism destinations the possibility to base all the decisions concerning policies, infrastructure development and stakeholders progress on sound and rational bases. Aim
https://irandoc.ac.ir/sites/fa/files/attach/article/346-352.pdf
one, based on statistical tests results solely. In this paper, general architecture of intelligent decision support system is proposed for choosing the most appropriate choice model during . booking horizon Main component of this system is knowledge acquisition subsystem with a rule bank. The simulation
https://quizlet.com/40359722/management-information-systems-chapter-4-flash-cards/
a decision support system designed specifically to analyze spatial information. Any information that can be shown in map form, such as roads, the distribution of bald eagle population, sewer systems, the path of a hurricane, and even the shortest driving route from the beginning location to destination.
https://www.sciencedirect.com/science/article/pii/S1877042815012409
Knowledge-based information systems are advanced tools in the hands of the marketer, enabling him to take evidence-based decisions in complex situations. In this paper, advanced data analysis, neural networks and knowledge representation technologies are brought together towards an intelligent information system for tourist destination marketing.Cited by: 10
http://eprints.utem.edu.my/10772/
The system title is Intelligent Tourism System (ITS) which is based on Decision Support concept for Penang Tourism Department. The study aims to bring about the changes, development and better improvement to the current Penang tourism information system through the effective use of computer technology in terms of information management to provide both value and service to attract more tourists …
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