Open AccessAHP AND WAFGP HYBRID MODEL FOR INFORMATION SYSTEM PROJECT SELECTION
Author(s) -
Mohammed Bellahcene,
Fatima-Zohra Benamar,
Mohammed Mékidiche
Publication year - 2020
Publication title -
international journal of the analytic hierarchy process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 3
ISSN - 1936-6744
DOI - 10.13033/ijahp.v12i2.761
Subject(s) - analytic hierarchy process , computer science , flexibility (engineering) , selection (genetic algorithm) , interdependence , multiple criteria decision analysis , operations research , process (computing) , information system , hierarchy , data mining , machine learning , mathematics , engineering , statistics , electrical engineering , political science , law , operating system , economics , market economy
The aim of this study is to propose an integrated Analytic Hierarchy Process (AHP) and Weighted Additive Fuzzy Goal Programming (WAFGP) method for the selection of information system projects that can use all types of linear membership functions and offer more flexibility. The proposed methodology includes three steps. First, an expert team was formed to identify the decision criteria and build a hierarchical model for the information system project selection. Then, the AHP was used to estimate the relative weights of the criteria. Finally, a WAFGP model was formulated and used to select the projects. A hypothetical example is given to show how to use this methodology and its advantages. In comparison to other approaches, the AHP-WAFGP hybrid model gives better support for information system project selection by selecting projects that make the best use of available resources and better satisfy the decision goals. Furthermore, the sensitivity analysis reveals that the proposed model is robust, adaptable, and not sensitive to small changes. Nevertheless, the proposed methodology does not include interdependencies among criteria and alternatives.