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cs.AI2020
Similarity measure for aggregated fuzzy numbers from interval-valued data
Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
This paper presents a method to compute the degree of similarity between two aggregated fuzzy numbers from intervals using the Interval Agreement Approach (IAA). The similarity mea…
cs.AI2020
Methods of ranking for aggregated fuzzy numbers from interval-valued data
Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
This paper primarily presents two methods of ranking aggregated fuzzy numbers from intervals using the Interval Agreement Approach (IAA). The two proposed ranking methods within th…
cs.AI2020
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models
Hadi A. Khorshidi, Uwe Aickelin
In this study, we propose a multicriteria group decision making (MCGDM) algorithm under uncertainty where data is collected as intervals. The proposed MCGDM algorithm aggregates th…