Interval Valued Intuitionistic Fuzzy AHP-WASPAS Based Public Transportation Service Quality Evaluation by a New Extension of SERVQUAL Model: P-SERVQUAL 4.0

2021 ◽  
pp. 115757
Author(s):  
Ecem Tumsekcali ◽  
Ertugrul Ayyildiz ◽  
Alev Taskin Gumus
Keyword(s):  
Service Quality ◽  
Public Transportation ◽  
Quality Evaluation ◽  
Fuzzy Ahp ◽  
Intuitionistic Fuzzy ◽  
Transportation Service ◽  
Service Quality Evaluation ◽  
Interval Valued

scholarly journals Public Transportation Service Quality Evaluation during the COVID-19 Pandemic in Amman City Using Integrated Approach Fuzzy AHP-Kendall Model

Vehicles ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 330-340
Author(s):  
Ahmad Alkharabsheh ◽  
Szabolcs Duleba
Keyword(s):  
Service Quality ◽  
Public Transportation ◽  
Fuzzy Ahp ◽  
Stakeholder Participation ◽  
Rank Correlation ◽  
Integrated Approach ◽  
Final Decision ◽  
Decision Attributes ◽  
Transportation Service ◽  
Service Quality Evaluation

The COVID-19 pandemic has affected public transportation worldwide, and its implications need to be evaluated and study deeply on all public transportation aspects. Therefore, an analysis has been created to examine the effects of the pandemic on public transportation service quality decisions to have a better vision of the different stakeholders’ needs to keep the system functioning in a profitable way. Stakeholder participation in complex, multi-criteria decision-making often produces very different results in prioritizing the decision attributes. Rank correlation techniques generally measure the degree of agreement or non-agreement among the evaluator groups. However, the multi-criteria methodology can determine not only ordinal but also cardinal priorities. Consequently, except for the attributes’ positions, the weight values are also significant in the final decision. This paper aims to apply a more sophisticated measure of group agreement than rank correlation. First, the Fuzzy-hierarchical analytical process (FAHP) has been used to find out the aggregated weights, then the Kendall correlation values are computed to reveal stakeholder opinions. Finally, the agreement measure approach has been tested in a real-world case study: the public transport development decision of Amman, Jordan. The analysis shows that by applying the Kendall technique, Kendall could gain a more profound insight into the priority characteristics of different evaluator groups.

scholarly journals The Service Quality Evaluation of Agricultural E-Commerce Based on Interval-Valued Intuitionistic Fuzzy GRA Method

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Haibin Zhang ◽  
Lei Wang
Keyword(s):  
Service Quality ◽  
Quality Evaluation ◽  
Intuitionistic Fuzzy Set ◽  
Correlation Method ◽  
Assessment Method ◽  
Intuitionistic Fuzzy ◽  
Service Quality Evaluation ◽  
Criteria Weights ◽  
Criteria Importance ◽  
Interval Valued

The service quality evaluation of agricultural business-to-customer (B2C) e-commerce is viewed as a multiattribute group decision-making (MAGDM) activity. Thus, a useful MAGDM process is required. Based on the grey relational analysis (GRA) process and the interval-valued intuitionistic fuzzy set (IVIFS), this study defines an interval-valued intuitionistic fuzzy (IVIF) GRA process to depict the service quality of agricultural B2C e-commerce. This is important to agricultural B2C e-commerce because this industry increases rapidly and many new services are innovated. In this article, some necessary definitions related to IVIFSs are reviewed. Additionally, criteria weights are derived using the Criteria Importance Through Intercriteria Correlation method (CRITIC). Subsequently, the GRA method is extended to incorporate IVIFs to obtain a final service alternative. All alternatives can then be ranked, and the best service quality option can be identified and promulgated. Finally, a numerical example and some useful comparative studies are obtained. The analysis results show that the defined algorithm is effective for identifying the service qualities of agricultural B2C e-commerce, which provide a new assessment method for MAGDM.

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