Neutrosophic sets are employed to be handled indeterminacy in a real-life situation. Thus, neutrosophic approaches the medical domain prove their excellence. The hidden Markov model is an inventiveness for uncertainty. existing models not able consider uncertainty information, but effectively finds optimal path between states where vagueness exists. proposed study comprises idea of single-value...

a new approach to define the similarity measure betweeninterval-valued fuzzy sets is presented. the proposed approach isbased on a weighted measure in which the normalized similaritiesbetween lower functions and also between upper functions arecombined by a weight parameter. the properties of this similaritymeasure are investigated. it is shown that, the proposed measurehas some advantages in c...

A novel approach to the problem of regression modeling for fuzzy input-output data is introduced. In order to estimate the parameters of the model, a distance on the space of interval-valued quantities is employed. By minimizing the sum of squared errors, a class of regression models is derived based on the interval-valued data obtained from the α-level sets of fuzzy inputoutput data. Then, by ...

Likelihood-based Imprecise Regression (LIR) is a recently introduced approach to regression with imprecise data. Here we consider a robust regression method derived from the general LIR approach and we establish an exact algorithm to determine the set-valued result of the LIR analysis in the special case of simple linear regression with interval data.