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...

In Game theory, there are situations in which it is very difficult to characterize the private information of each player. In this case, the payoffs can be given by approximate values, represented by fuzzy numbers. Whenever there is uncertainty in the modeling of those fuzzy numbers, interval fuzzy numbers may be used. This paper introduces two approaches for the solution of interval-valued fuz...

The evaluation of wooden toys is a complicated process and can be overwhelming for decisionmakers in the presence many conflicting criteria. Hence, this study proposes fuzzy decision-making model to identify prioritize key attributes toys. For purpose, interval-valued spherical analytic hierarchy (AHP), which one multicriteria methods, applied obtain weight vectors. Firstly, toy problem formula...

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...

The purpose of this paper is to develop a methodology for solving a new type of matrix games in which payoffs are expressed with triangular intuitionistic fuzzy numbers (TIFNs). In this methodology, the concept of solutions for matrix games with payoffs of TIFNs is introduced. A pair of auxiliary intuitionistic fuzzy programming models for players are established to determine optimal strategies...