Hierarchical multi-criteria risk-benefit analysis in fuzzy environment

The objectives of this paper are: (1) to utilize hierarchical fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to evaluate the most suitable RFID-based systems decision and (2) to list key risks and benefits of radio frequency identification technology in library services. Researcher explains the importance of selection criteria for evaluation of RFID-based systems. It provides key elements on radio frequency identification, fuzzy hierarchical TOPSIS methodology and an algorithm that can be followed to solve the problem. A sample problem using the algorithm is solved and results are explained. Due to the fact that a better management of a library system is related to the full understanding of the technologies implemented and the system under consideration, some background on the radio frequency identification technology is provided and the kind of systems that most likely managements would face with and select are provided.

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► Utilizes hierarchical fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to evaluate the most suitable RFID-based systems decision.
► Lists key risks and benefits of radio frequency identification technology in library services.
► Provides an algorithm that can be followed to solve the problem.