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Data · dataset · 2011

A Fuzzy Multi-criteria Decision Model for International Tourist Hotels Location Selection

Listed in Harvard Dataverse

The main purpose of this paper is to present a fuzzy multi-criteria decision making (FMCDM) model for international tourist hotel location selection.

Description

First, 21 criteria for selecting the international tourist hotel location acquired from literatures review and practical investigations are constructed. The concepts of fuzzy set theory, hierarchical structure analysis and analytic hierarchy process (AHP) are used to consolidate decision-makers’ assessments about criteria weightings and the weighted suitability of different alternatives versus various criteria above the alternative level.

Then the distance of different alternatives versus the positive ideal solution and the negative ideal solution can be obtained by using the proposed ranking method. Further, the relative approximation values of various alternatives versus the positive ideal solution are ranked to determine the best international tourist hotel location. Finally, an empirical study for identifying the international tourist hotel location selection in Taiwan is conducted to demonstrate the computational process and effectiveness of FMCDM proposed by this paper.

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Provenance · 1 source records, 5 field assertions
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Harvard Dataversedoi:10.6141/TW-SRDA-E94007-114 d agoJSON v1
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