Solving a decision problem with linguistic information

Artificial Intelligence (AI) is the science that focuses its study to achieve the understanding of intelligent entities. It is evident that computers that possess intelligence at a human level will have very important repercussions in our daily life. Inside the fields of AI it is necessary to highlight the decision-making, where AI supposes a great help. In this paper, we present a methodology in a decision-making problem where only linguistic information was available. The main purpose of this paper is to present a technique to obtain the weights and the utilities to resolve the multicriteria decision-making when the knowledge about it is linguistic. Thus we can have systems where the input of data in the computer can be of a determined type and the output can be of the same or a different type, making more intelligent computers. The aim of this paper is to present an evaluation model based on a multicriteria decision analysis that offers the “assembly workshop manager” the possibility of expressing its knowledge in a linguistic framework. In this paper the linguistic decision analysis is interpreted in a multicriteria decision-making context.