Evaluating public transport service quality using picture fuzzy analytic hierarchy process and linear assignment model

2021 ◽  
Vol 100 ◽  
pp. 106920
Author(s):  
Fatma Kutlu Gündoğdu ◽  
Szabolcs Duleba ◽  
Sarbast Moslem ◽  
Serhat Aydın
2020 ◽  
Vol 13 (1) ◽  
pp. 40
Author(s):  
Nara Medianeira Stefano ◽  
Izabel Cristina Zattar ◽  
Nelson Casarotto Filho

Considering that, service quality is an abstract and elusive construct because of three characteristics of services: intangibility, heterogeneity, and inseparability of production and consumption. In that way, we define service quality as perceived by the customer. Thus for service providing organizations the interpretation of customer needs is critical. The good performance in services strengthens competitiveness and establish a relationship with the customer, consolidating the brand, communication with the market. In this context, study aimed to assess the services quality in large hotel located in Santa Catarina – Brazil, with participation of 187 guests. We used the SERVQUAL method to collect data on a questionnaire based dimensions of quality. To calculate the expected weights and perception was used FAHP (Fuzzy Analytic Hierarchy Process). As a result, these aspects are presented where the expectation of the guests regarding the service is greater than that found reality, allowing thus the company strategically align its future investments.


Author(s):  
G. Marimuthu ◽  
G. Ramesh

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.


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