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 Multi-Objective Optimisation in Multi-QoS Routing Strategy for Software-Defined Satellite Network

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6356
Author(s):  
Yang Wu ◽  
Guyu Hu ◽  
Fenglin Jin ◽  
Siqi Tang
Keyword(s):  
Quality Of Service ◽  
Fuzzy Set ◽  
Routing Algorithm ◽  
Satellite Network ◽  
Quality Of Service Routing ◽  
Routing Strategy ◽  
Service Routing ◽  
Interval Type

The satellite network plays an increasingly important role in the global communication. With the development of communication technology, quality of service requirements have become more and more complex and diverse and the quality of service routing strategy of software-defined satellite network has become a more and more hot and difficult issue. In this paper, an interval-type-2 fuzzy set routing algorithm is proposed. Firstly, the multi- quality of service routing problem in software-defined satellite network is modeled. Then, the interval-type-2 fuzzy set routing algorithm is proposed to make fuzzy decisions. A series of experiments conducted in Network Simulator (Version 2.35) have proved that the proposed interval type-2 fuzzy set routing algorithm can reduce average delay, increase total throughput and reduce packet drop rate.

Representing a probabilistic linguistic term set with an interval type-2 fuzzy set and the application in green supplier selection

2021 ◽  
pp. 1-18
Author(s):  
Le Jiang ◽  
Hongbin Liu
Keyword(s):  
Decision Making ◽  
Membership Function ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Symbolic Model ◽  
Green Supplier Selection ◽  
Linguistic Term ◽  
Interval Type ◽  
Decision Making Model

The use of probabilistic linguistic term sets (PLTSs) means the process of computing with words. The existing methods computing with PLTSs mainly use symbolic model. To provide a semantic model for computing with PLTSs, we propose to represent a PLTS by using an interval type-2 fuzzy set (IT2FS). The key step is to compute the footprint of uncertainty of the IT2FS. To this aim, the upper membership function is computed by aggregating the membership functions of the linguistic terms contained in the PLTS, and the lower membership function is obtained by moving the upper membership function downward with the step being total entropy of the PLTS. The comparison rules, some operations, and an aggregation operator for PLTSs are introduced. Based on the proposed method of computing with PLTSs, a multi-criteria group decision making model is introduced. The proposed decision making model is then applied in green supplier selection problem to show its feasibility.

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.

An Efficient Non-Iterative Method for Computing the Centroid of an Interval Type-2 Fuzzy Set

2021 ◽  
Keyword(s):  
Iterative Method ◽  
Fuzzy Set ◽  
Interval Type

Abstract The authors have requested that this preprint be withdrawn due to author disagreement.

An Extended TOPSIS Method Based on Gaussian Interval Type-2 Fuzzy Set

2019 ◽  
Vol 21 (6) ◽  
pp. 1831-1843
Author(s):  
Huidong Wang ◽  
Jinli Yao ◽  
Jun Yan ◽  
Mingguang Dong
Keyword(s):  
Fuzzy Set ◽  
Topsis Method ◽  
Interval Type
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