Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
The fuzzy mathematics of finance
Fuzzy Sets and Systems
A procedure for ranking fuzzy numbers using fuzzy relations
Fuzzy Sets and Systems
A probabilistic approach to rank complex fuzzy numbers
Fuzzy Sets and Systems
Operations of fuzzy numbers with step form membership function using function principle
Information Sciences—Informatics and Computer Science: An International Journal
A model and algorithm of fuzzy product positioning
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
The economics of information security investment
ACM Transactions on Information and System Security (TISSEC)
Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
Information Sciences—Informatics and Computer Science: An International Journal
Towards a standard approach for quantifying an ICT security investment
Computer Standards & Interfaces
Applying fuzzy engineering economics to evaluate project investment feasibility of wind generation
WSEAS TRANSACTIONS on SYSTEMS
Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers
IEEE Transactions on Fuzzy Systems
An economic modelling approach to information security risk management
International Journal of Information Management: The Journal for Information Professionals
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Fuzzy economic models to evaluate the economic feasibility of information security investment for decision-makers is derived in this study. The Net Present Value and discounted Return on Investment models are proposed for the execution of cost-benefit analysis. Fuzzy mathematics is based on the extended principles which ensured that the resultant fuzzy number continuously maintained its fuzzy properties during the arithmetic operating procedure. Since fuzzy results are in the form of a complex nonlinear representation, and do not always provide a totally ordered set in the same way that crisp numbers do, the current paper approximates the resulting fuzzy profitability indexes by a triangular fuzzy number initially, and then uses the Mellin Transform to obtain the means and variances of the triangle fuzzy numbers in order to determine their relative ranking in a decision-making process. The performances of the proposed models are verified by considering their application to a practical illustration, which were used in a previous literature. These investigations not only confirm that the results of the fuzzy economic models are consistent with those of the conventional crisp models, but also demonstrate that the proposed models represent readily implemented possibility analysis tools for use in the arena of uncertain financial decision-making. The developed models represent readily implemented feasibility analysis tools for use in the arena of uncertain economic decision-making.