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
Security Engineering: A Guide to Building Dependable Distributed Systems
Security Engineering: A Guide to Building Dependable Distributed Systems
Information Security: An Integrated Collection of Essays
Information Security: An Integrated Collection of Essays
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
Generalizing TOPSIS for fuzzy multiple-criteria group decision-making
Computers & Mathematics with Applications
TQM consultant selection in SMEs with TOPSIS under fuzzy environment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS
Expert Systems with Applications: An International Journal
Developing a fuzzy TOPSIS approach based on subjective weights and objective weights
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An interval arithmetic based fuzzy TOPSIS model
Expert Systems with Applications: An International Journal
Using the Hamming distance to extend TOPSIS in a fuzzy environment
Journal of Computational and Applied Mathematics
Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS
Expert Systems with Applications: An International Journal
Extension of TOPSIS for decision-making problems with interval data: Interval efficiency
Mathematical and Computer Modelling: An International Journal
An extension of TOPSIS for group decision making
Mathematical and Computer Modelling: An International Journal
Comparison of weights in TOPSIS models
Mathematical and Computer Modelling: An International Journal
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Security mechanisms are substantial to an e-business environment. While many security mechanisms have been developed to secure e-business processes EBP and networks, little attention is given to actual process of a systematic decision making. In most cases strongest security level available is selected. In many cases there are low risks and threats associated with the processes and the use of strong security wastes the available resources. In this paper the authors developed a practical multiple criteria decision making model based on the group fuzzy technique for order preference by similarity to ideal solution GFTOPSIS for choosing adequate security mechanism for e-business processes and making a trade-off between security and other important factors in the enterprise. Data was acquired from experts and implemented fuzzy approach. The authors differentiated four phases in the EBP. Each phase of the process which has specific security requirements thus we suggested the use of specified security mechanisms for each phase which improves the efficiency of the system.