An Integrated Fuzzy Best-Worst Method for Evaluation of Hotel Website and Digital Solutions Provider Firms
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Date
2020
Authors
Samanlıoğlu, Funda
Burnaz, Ayşe Nur
Diş, Berke
Tabaş, Mehmet Doğukan
Adıgüzel, Mehmet
Journal Title
Journal ISSN
Volume Title
Publisher
Hindawi Limited
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In todays world where technology is rapidly evolving, hotels need to be the best in all conditions to be one step ahead of other competitors. Digital marketing and hotel website solutions play a lead role in this competition. Therefore, hotel websites need to be innovative, user-friendly, and descriptive. The main purpose of the study is to evaluate and rank potential hotel websites and digital solutions provider firms. Since there are various potentially competing quantitative and qualitative criteria to take into consideration in the decision-making process, a multicriteria decision-making (MCDM) method is needed. As the MCDM method, fuzzy best-worst method (FBWM) is integrated with the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS). In this integration, FBWM is applied to determine fuzzy evaluation criteria weights and then F-TOPSIS is implemented to rank alternatives utilizing the obtained fuzzy weights. A case study is presented, where 4 alternative hotel websites and digital solutions provider firms for Paloma Hotels in Turkey are evaluated based on 9 criteria by 3 hotel managers.
Description
Keywords
Artificial intelligence, Social Sciences, Multi-Criteria Decision Making, Management Science and Operations Research, Operations research, Optimization of Container Terminal Operations and Logistics, Industrial and Manufacturing Engineering, Preference, Decision Sciences, Multi-Objective Transportation Problem Optimization, FOS: Economics and business, QA76.75-76.765, Engineering, Fuzzy Goal Programming, FOS: Mathematics, Business, Computer software, TOPSIS, Biology, MCDM Methods, Marketing, Competitor analysis, Ecology, Statistics, Competition (biology), Multiple-criteria decision analysis, Computer science, TK1-9971, Fuzzy logic, N/A, Control and Systems Engineering, Rank (graph theory), Combinatorics, FOS: Biological sciences, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Mathematics
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
14
Source
Advances in Fuzzy Systems
Volume
2020
Issue
Start Page
1
End Page
10
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Citations
Scopus : 15
Captures
Mendeley Readers : 59
SCOPUS™ Citations
15
checked on Feb 17, 2026
Web of Science™ Citations
13
checked on Feb 17, 2026
Page Views
12
checked on Feb 17, 2026
Downloads
312
checked on Feb 17, 2026
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