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Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words by Enrique Herrera‐Viedma; Gabriella Pasi; Antonio G. Lopez‐Herrera; Carlos Porcel is a Computer Science article available to read on EtoBox.

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## Abstract An evaluation methodology based on fuzzy computing with words aimed at measuring the information quality of Web sites containing documents is presented. This methodology is qualitative and user oriented because it generates linguistic recommendations on the information quality of the content‐based Web sites based on users' perceptions. It is composed of two main components, an evaluation scheme to analyze the information quality of Web sites and a measurement method to generate the linguistic recommendations. The evaluation scheme is based on both technical criteria related to the Web site structure and criteria related to the content of information on the Web sites. It is user driven because the chosen criteria are easily understandable by the users, in such a way that Web visitors can assess them by means of linguistic evaluation judgments. The measurement method is user centered because it generates linguistic recommendations of the Web sites based on the visitors' linguistic evaluation judgments. To combine the linguistic evaluation judgments we introduce two new majority guided linguistic aggregation operators, the Majority guided Linguistic Induced Ordered Weighte

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Author

Enrique Herrera‐Viedma; Gabriella Pasi; Antonio G. Lopez‐Herrera; Carlos Porcel

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Publons; Wiley (ISSN 1532-2882)

Published

2006

Language

EN

Field

Computer Science (Physical Sciences)