Title: Extended fuzzy AHP for decision under the DeLone McLean model

Authors: František Zapletal; Radek Němec

Addresses: Department of Systems Engineering, Faculty of Economics, VŠB – Technical University of Ostrava, Ostrava, Sokolská 33, 70121, Czech Republic ' Department of Systems Engineering, Faculty of Economics, VŠB – Technical University of Ostrava, Ostrava, Sokolská 33, 70121, Czech Republic

Abstract: Fuzzy analytic hierarchy process (F-AHP) has been introduced in many variations requiring different conditions and assumptions. In this paper, we deal with a problem when the uncertainty is not primarily implied by a linguistic evaluation scale, but by the hesitance of decision-makers. This assumption is essential in our case study of the project success factor evaluation under the DeLone and McLean model because the evaluators have different skills, knowledge, and even competences. To get the level of hesitance of each decision-maker, we introduce the so-called hesitance degree, which defines the shape of fuzzy evaluations. To derive the fuzzy weights of criteria, we use the linear goal programming priority method introduced by Wang and Chin (2008), and the possibility and necessity measures to interpret the results. We also provide a novel diagram visualising the results. The presented F-AHP approach is used to evaluate the success factors of information system implementation.

Keywords: hesitance; fuzzy; analytic hierarchy process; AHP; DeLone and McLean model.

DOI: 10.1504/IJADS.2024.138178

International Journal of Applied Decision Sciences, 2024 Vol.17 No.3, pp.271 - 292

Received: 27 Sep 2021
Accepted: 10 May 2022
Published online: 30 Apr 2024 *

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