The application of fuzzy set concept to assess service quality in tourist hotel settings

2021 ◽  
Vol 4 (1) ◽  
pp. 53
Author(s):  
Hsiang Lin Tseng ◽  
Chiu Chen
Keyword(s):  
Service Quality ◽  
Fuzzy Set

A Fuzzy Set Approach in the Quantification of Technical Support Service Quality

1998 ◽  
Vol 42 (6) ◽  
pp. 564-568 ◽  
Author(s):  
Sridevi S. Rao ◽  
Ray Eberts ◽  
M.U. Thomas ◽  
Robert Plante
Keyword(s):  
Service Quality ◽  
Fuzzy Set ◽  
Individual Variation ◽  
Behavioral Intentions ◽  
Support Service ◽  
Technical Support ◽  
Quality Dimension ◽  
Study Results ◽  
Levels Of Service

Consumers' perceptions of service quality are highly qualitative as well as subjective. Individual variation exists in the meaning of “low,” “medium,” or “high” levels of service quality. A framework for quantifying the service quality dimension levels for technical support service is presented in the current study. Results are combined with the utility values of the dimension levels obtained through conjoint analysis. Customers' behavioral intentions subsequent to the quality of the technical support they experience are also found empirically. The methodology presented in this research can be used in improving the comprehensibility and quantification of service quality.

scholarly journals Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey

2018 ◽  
Vol 69 ◽  
pp. 83-98 ◽  
Author(s):  
Muhammet Deveci ◽  
Ender Özcan ◽  
Robert John ◽  
Sultan Ceren Öner
Keyword(s):  
Service Quality ◽  
Fuzzy Set ◽  
Hesitant Fuzzy Set ◽  
Domestic Airlines ◽  
Interval Type

scholarly journals Models of Sports Management in Fitness Centres. Influence of Sex, Age and Sport Frequency. Linear Models vs. Qualitative Comparative Analysis

2021 ◽  
Vol 13 (16) ◽  
pp. 8995
Author(s):  
Fernando García-Pascual ◽  
Carlos Pérez-Campos ◽  
Joaquín García Sánchez ◽  
Ana Soto-Rubio ◽  
Sergio Aguado Berenguer
Keyword(s):  
Comparative Analysis ◽  
Service Quality ◽  
Fuzzy Set ◽  
Linear Models ◽  
Qualitative Comparative Analysis ◽  
Perceived Value ◽  
Economic Viability ◽  
Sports Management ◽  
Predictive Variables ◽  
Linear Relationships

Knowing the perceptions of users of sports services has always been an object of analysis within sports management. This paper attempts to analyse what influences the satisfaction and future intentions of fitness centre customers, beyond management variables, by using two different methodologies. A sample of 389 users of a private sports centre was used. Both linear relationships between variables and the combination of sets were analysed using fuzzy set Qualitative Comparative Analysis fsQCA. It is concluded that management variables (service quality, satisfaction and perceived value) are very important for the prediction of management models, but that, according to the interaction methodology between variables, both frequency and sociodemographic variables play an important role in achieving satisfied and loyal users of the sports service. For the prediction of customers’ future intentions, within the analysed sets, it is observed that satisfaction and perceived value are the most predictive variables (raw coverage 0.66). Therefore, and as a consequence, a high number of satisfied and loyal users of the service will allow the economic viability of this service to be achieved.

Is Psychology a Science or a Fuzzy Set?

1978 ◽  
Vol 23 (5) ◽  
pp. 319-320
Author(s):  
LEWIS WOLFGANG BRANDT
Keyword(s):  
Fuzzy Set

TQM: Evaluating service quality.

1993 ◽  
Vol 45 (3) ◽  
pp. 31-33 ◽  
Author(s):  
Gregory D. Chowanec
Keyword(s):  
Service Quality
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