Ordering, distance and closeness of fuzzy sets
Fuzzy Sets and Systems - Special issue on fuzzy data analysis
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Computing with Words in Information/Intelligent Systems 2: Applications
Computing with Words in Information/Intelligent Systems 2: Applications
Fuzzy Analytical Hierarchy Process in Maintenance Problem
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Selection of a cleaning system for engine maintenance based on the analytic hierarchy process
Computers and Industrial Engineering
Multi-criteria analysis for a maintenance management problem in an engine factory: rational choice
Journal of Intelligent Manufacturing
The LTOPSIS: An alternative to TOPSIS decision-making approach for linguistic variables
Expert Systems with Applications: An International Journal
On weighted unbalanced linguistic aggregation operators in group decision making
Information Sciences: an International Journal
| Hi-index | 0.10 |
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.