PERPANJANGAN METODE IDEAL REFERENSI UNTUK LINGKUNGAN NEUTROSOPHIK.
Multicriteria Decision Support, Reference Ideal Method, Neutrosophic Set, Ideal Solution
Decision making is a routine process of people and organizations around the world. Whether it is the number of agents involved or the conflicting nature of the selection criteria, in many situations this process can be complex and there is no trivial solution. In this context, the so-called Multicriteria Decision Support (AMD) stands out, a decision support methodology, composed of several methods in different conceptions. Among the main conceptions, there is the so-called Ideal Solution concept, with classical methods such as TOPSIS, VIKOR, and more recent ones such as the Reference Ideal Method (RIM). The RIM method, as well as the classical methods, were proposed to be applied in situations described in real values. However, in many real decision problems, the information is inaccurate, vague, incomplete, and inconsistent. Thus, these methods are extended to other types of sets, such as the Fuzzy Set, Intuitionist Fuzzy Set, and the Neutrosophic Set, which allow us to represent these types of information. Considered a generalization of the others, the Neutrosófico Set can adequately represent incomplete, vague and inconsistent information, that is, it represents the decision-making process in a more complete way than the others. In this sense, this work aims to propose an extension of the RIM method for the neutrophysical environment, allowing to adequately represent problems of multicriteria decision making with imprecise, incomplete, vague and inconsistent data. For this, a review of the literature, as basis for proposition of the method. The validation of this will be through Modeling and Simulation, with the generation of decision problems, randomly generated. Validated, the method will be applied to an illustrative example in the literature. It is hoped with this research, a new multicriteria method in the design of ideal reference solution for neutrosophic information.