A Model to Quantify Effectiveness Assessment Model Through Security & Correctness Assessment for Adoption Of the E-Procurement

“Towards A Fuzzy Logic Rule Based Prediction for Effective Adoption of E-Procurement System on Cloud Environment”

“…Fuzz logic based algorithm and guidelines for e-procurement system in public Cloud environment has been developed in this article. Firstly an adoption is done on the cloud environment with the help of associated effective e-procurement system [33] [; this relationship is based on our two quality most important factors named as security assessment model [28]and independent factors confidentiality assessment model [24], integrity assessment model [25],authentication quantification model [26], authorization quantification model [27 ] and after that quality of correctness assessment model [33] which depends on these independent factors completeness assessment model[29] ,traceability assessment model [30],reliability assessment model [31] effectiveness assessment model [33]. In this algorithm and fuzziness rules are used to predict the outcome of effective e-procurement platform for the cloud based environment system.…”

“…Fuzzy Logic is a branch of Artificial Intelligence that has been proposed by Zadeh in 1965. The basic following steps of the cloud based framework are input / output variables, building fuzzy base rule and collection of the membership functions and rules that support multivariate value for decision making for design phase for the adoption of the cloud based effective e-procurement system [ 33]which can be illustrate in Table 1.…”