Decision-making and performance measurement models with applications to robot selection
Computers and Industrial Engineering
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
RFID Field Guide: Deploying Radio Frequency Identification Systems
RFID Field Guide: Deploying Radio Frequency Identification Systems
Compromise ratio method for fuzzy multi-attribute group decision making
Applied Soft Computing
Fuzzy multi-criteria evaluation of industrial robotic systems
Computers and Industrial Engineering
A real-time wireless smart sensor array for scheduling irrigation
Computers and Electronics in Agriculture
Fuzzy hierarchical TOPSIS for supplier selection
Applied Soft Computing
Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets
Applied Soft Computing
Interval-valued fuzzy TOPSIS method with leniency reduction and an experimental analysis
Applied Soft Computing
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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.