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An Advanced Technology Selection Model using Neuro Fuzzy Algorithm for Electronic Toll Collection System

Author(s): D.R.Kalbande | Priyank Singhal | Nilesh Deotale | Sumiran Shah | G.T.Thampi

Journal: International Journal of Advanced Computer Sciences and Applications
ISSN 2156-5570

Volume: 2;
Issue: 4;
Date: 2011;
Original page

Keywords: Neural Network | Fuzzy Logic | Technology Integration | Technology Evaluation

Selecting an optimum advanced technology system for an organization is one of the most crucial issues in any industry. Any technology system which makes business process more efficient and business management more simplified is one of the important Information System (IS) to the organization. The comprehensive framework is a three-phase approach which introduces two main ideas, one is the adopting of the McCall software quality model which is extracted from technology management essentials, and use the factors of McCall software quality model to be some of the technology selection criteria. Another major point is implementing and proposing a model based on this research using Neuro-Fuzzy algorithm to evaluate advance technology selection. This paper includes the concept of a new multi attribute selection process which combines both the Fuzzy logic (linguistic) and Neural network (integral valuation) methodology to evaluate or estimate a technology for Electronic Toll Collection System. Managers will be able to use this model for selecting a new technology in to their organization.
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