Ara
Toplam kayıt 5, listelenen: 1-5
On modeling of responses generated by travel 2.0 implementation: fuzzy rule-based systems
(Emerald Group Publishing Ltd., 2020)
Purpose: Web 2.0 applications enable travelers to evaluate several services and assessment attributes. Constructed websites in several languages trigger a new way of data collections resulting in data streams leading to ...
Quantification of qualitative assessments using computing with words: In framework of fuzzy set theory
(Springer, 2020)
When qualitative data are collected, which is a widespread situation encountered in several disciplines ranging from social sciences to decision making to engineering as a result of dealing with ill-defined concepts or ...
Determination of attributes affecting price-performance using fuzzy rule-based systems: online ratings of hotels by travel 2.0 users
(Emerald Group Publishing Ltd, 2020)
Purpose Fuzzy rule-based system (FRBS), a soft computing method used for big data analysis, is used to determine which single hotel attribute or interrelated hotel attributes used in Travel 2.0 data play a role on ...
Voter classification based on susceptibility to persuasive strategies: A machine learning approach
(Springer, 2020)
The current literature on the campaigns of political marketing is based on mass communication. However, the online community introduces new opportunities, one of them is captology. As a part of captology, the persuasive ...
Evaluation of hotel performance attributes through consumer generated reviews: The case of Bratislava
(2020)
Slovakia is positioned in a highly competitive market of Central European countries with geographical and cultural similarities. Despite having a good potential, the tourism development in the country has not reached the ...