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2022 | OriginalPaper | Chapter

Spectrum of Intelligent Tourist Destination Image Decision Information System

Authors : Pankaj Srivastava, Saurabh Srivastav, Yannakorn Toprayoon

Published in: Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare

Publisher: Springer Singapore

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Abstract

The destination image of tourist places is an essential component that influences the thinking phenomenon of tourists regarding the selection of tourist places. The process of selection of tourist places among the various tourist destination is a vague and imprecise one, therefore, the decision-making process becomes more complex as it is influenced by many aspects such as brand awareness, brand attitude, adventure, romantic, spirituality, tourist loyalty, perceived quality, and destination image criteria as a significant component. The present article is focused on the design and development of an intelligent tourist destination image decision information system, and the system reflects the influence of criteria of selection of tourist destination based on destination image features. The system has an added advantage to redesign the tourist destination selection plan as per destination image criteria.

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next chapter Extensions of Some Known Differential and Integral Operators
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Metadata
Title
Spectrum of Intelligent Tourist Destination Image Decision Information System
Authors
Pankaj Srivastava
Saurabh Srivastav
Yannakorn Toprayoon
Copyright Year
2022
Publisher
Springer Singapore
Book
Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare

Print ISBN: 978-981-16-3806-0

Electronic ISBN: 978-981-16-3807-7

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-16-3807-7_1

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