Multiple attribute decision-making theory under uncertainty is an important part of decision making theory. In this paper, by using optimal plan, the optimization weight model is established. Then, based on formulas of possibility degree, a new attribute decision making approach is proposed to study multi-criteria decision making problems under uncertainty in which criteria values are interval ...

The purpose of this paper is to present the possibility of replacing physical unit cost in transportation or distribution problems by an aggregate coefficient, getting qualitative and subjective considerations involved. The model for constructing aggregate cost is a two stage multiple attribute decision-making problems. In the first stage supply points, demand points and routes of transportatio...

Rough set theory is used in data mining through complex learning systems and uncertain information decision from artificial intelligence. For multiple attribute decision making, rough sets employ attribute reduction to generate decisive rules. However, dynamic information databases, which record attribute values changing with time, raise questions to rough set based multiple attribute reduction...

With respect to multiple attribute group decision making MAGDM problems, in which the attribute weights take the form of real numbers, and the attribute values take the form of fuzzy linguistic scale variables, a decision analysis approach is proposed. In this paper, we develop a new fuzzy linguistic induce OWA FLIOWA operator and analyze the properties of it by utilizing some operational laws ...