Adaptive Evaluation of Portal Quality: An eGovernment Case

Magoutas, Babis; Mentzas, Gregoris

doi:10.1109/pci.2009.15

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2013

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“…The results show that the model has the capability to be flexible and apply in egovernment performance application. [6] Described a knowledge based approach that enables the subjective evaluation of portal and e-service quality by users in an adaptive manner. The model for adaptive quality measurement (MAQM) comprises different ontology including concepts regarding quality aspects, questions and questionnaires, portal characteristics and problems encountered by users while using the portal.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Expert System to Evaluate the Quality of Service Provider in the Implementation of E-Government

Gupta¹,

Mago²

2013

IJCA

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In this paper, a fuzzy expert system has been developed for categorizing service provider in e-government service center environment. On the basis of data to be collected through case studies carried out within service center, the categories has been derived for service providers based on demographic, experience, and behavioral attributes. The fuzzy expert system will assign service provider to the pre-defined categories and provides the corresponding membership values given into the system using fuzzy logic. A prototype system has been proposed and designed in this paper to identify the type service provider based on the demographic, experience and behavioral attributes.

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Section: Literature Reviewmentioning

confidence: 99%