Assessment of Mass Transit Quality of Service Employing Passenger Satisfaction in Soft Computing Techniques

Dholawala, Hetsav (2017) Assessment of Mass Transit Quality of Service Employing Passenger Satisfaction in Soft Computing Techniques. MTech thesis.

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Abstract

Numerous methods for relating Quality of service with Customer satisfaction have been evolved. In this research, Neuro-Fuzzy approach has been used for assessing the Quality of Service based on the data collected on customer satisfaction from Ahmedabad BRTS (Janmarg) and Surat BRTS (Sitilink) from cities of Ahmedabad and Surat city respectively. Neuro Fuzzy was conceived as a Universal Approximator by Jang (1993) incorporating Fuzzy Inference system in the artificial neural network framework, exploiting the advantages of both the methods. Adaptability and learning of NNs and Inference of Fuzzy reasoning has made it reasonable to use it as a Universal Approximator which is highly accurate as well as it can deal with uncertain and vague character of the Human perception.

Item Type:Thesis (MTech)
Uncontrolled Keywords:Universal Approximator; Neuro-Fuzzy approach; Public Transit; Urban Transportation
Subjects:Engineering and Technology > Civil Engineering > Urban Engineering
Engineering and Technology > Civil Engineering > Transportation Engineering
Divisions: Engineering and Technology > Department of Civil Engineering
ID Code:8727
Deposited By:Mr. Kshirod Das
Deposited On:28 Nov 2017 11:25
Last Modified:28 Nov 2017 11:25
Supervisor(s):Bhuyan, P. K.

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