On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Weighted fuzzy pattern matching
Fuzzy Sets and Systems - Mathematical Modelling
On the inclusion of importances in OWA aggregations
The ordered weighted averaging operators
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Dealing with heterogeneous information in engineering evaluation processes
Information Sciences: an International Journal
Generalizing TOPSIS for fuzzy multiple-criteria group decision-making
Computers & Mathematics with Applications
The interval-valued fuzzy TOPSIS method and experimental analysis
Fuzzy Sets and Systems
A new fuzzy TOPSIS for fuzzy MADM problems under group decisions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Evolutionary multiobjective optimization using an outranking-based dominance generalization
Computers and Operations Research
Information Sciences: an International Journal
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
A Cumulative Belief Degree-Based Approach for Missing Values in Nuclear Safeguards Evaluation
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
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Nuclear safeguards evaluation (NSE) is to verify that a State is living up to its international undertakings not to use nuclear programs for nuclear weapons purposes. The main issue in NSE is on the aggregation of expert evaluations for numerous indicators to make a final decision about the State's nuclear activity. Fuzzy multiple attribute decision making (FMADM) methods are capable of dealing with such an issue. In this study, we propose a new FMADM methodology to solve the NSE problem. To this end, we investigate the applicability of four basic FMADM methods, namely a simple additive weighting method, a TOPSIS method, a linguistic method, and a non-compensatory method, to the NSE issue. As a result of the assessment of the basic methods, we propose a new FMADM methodology based on a new aggregation operator in which a cumulative belief structure is used to represent the expert evaluations. The basic methods and the proposed method as well are applied to an example from the literature for illustration purposes.