Computing with Words to Assess the Perceived Quality of IT Products and Projects

Marieta Peña Abreu, Juan Carlos Mejias Cruz, Cynthia López Valerio, Pedro Yobanis Piñero Pérez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper proposes a method based on computing with words paradigms to assess the perceived quality of IT services that contribute to decision making. The proposal is divided into four phases. In the first one, the experts and criteria for the evaluation of the perceived quality of the IT services are selected. In the second one, the preferences of the users are collected. In the third one, the evaluation is carried out using the 2-tuple model and in the fourth one, the achieved result is integrated for a more profound analysis during decision making. The experts are selected through the Delphi method. The evaluation criteria are defined using the Focal Group technique and weighted with values between (0, 1) according to their importance. Valuations are expressed in the linguistic domain and aggregation operators are used that avoid the loss of information. As a result, the pair (level of perceived quality, precision) is obtained for each evaluated service. The method was validated with three IT services, in which 24 users evaluated 12 criteria selected by 10 experts. The perceived quality level of service was excellent with −0.33 of precision, service was very high with −0.16 of precision and reached an excellent value with −0.45 of precision. The proposed method is a favorable solution to assess the perceived quality of IT services in uncertain environments. Its use contributes to the decision making and to the improvement of the IT services evaluated.

Idioma originalInglés
Título de la publicación alojadaComputational Intelligence in Engineering and Project Management
EditoresPedro Yobanis Piñero Pérez, Janusz Kacprzyk, Rafael Bello Pérez, Iliana Pérez Pupo
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas353-367
Número de páginas15
ISBN (versión impresa)9783031504945
DOI
EstadoPublicada - 2024
Evento11th Ibero-American Congress of Engineering and Project Management, CIIP 2023 - Habana, Cuba
Duración: 5 oct 20237 oct 2023

Serie de la publicación

NombreStudies in Computational Intelligence
Volumen1134
ISSN (versión impresa)1860-949X
ISSN (versión digital)1860-9503

Conferencia

Conferencia11th Ibero-American Congress of Engineering and Project Management, CIIP 2023
País/TerritorioCuba
CiudadHabana
Período5/10/237/10/23

Huella

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