Sentence examples for decision making environments from inspiring English sources

This paper presents the design parameters for an optimal blend of technologies required to enhance the knowledge acquisition and reuse in large scale decision making environments.

Shaped largely by legal mandates, market forces, and social and cultural practices, different land use regimes present different opportunities for and constraints on goals for ecosystem services and pose different decision making environments.

Affected by many conflicting yet interdependent factors that demand constant adaptation and speed of response, organizations of all sizes are being required to deal with what are now very complex decision making environments, just consider what Sony and our friends in the movie theater industry were wrestling with as the year closed.

We propose an optimal solution procedure in centralized and decentralized decision making environments considering when the information sharing among the retailer and the manufacturer is partial.

The main advantages of the methodology are consideration of the vagueness, uncertainty, and fuzziness to decision making environment.

This paper adds to a nascent literature by providing a new approach to studying remuneration schemes and modelling the medical decision making environment in the lab.

In complex decision making environment, since the attitudes, cognitions and knowledge backgrounds of the decision makers are quite different with each other, they may provide preference information with different preference ordering structures such as preference orderings, interval preference orderings and hesitant preference ordering sets.

Many multiple-criteria decision-making (MCDM) methods have been proposed for decision-making environments.

Organizations today face complex decision-making environments in which multiple perspectives must be considered.

This development was mainly driven by increased data resources, improved usability of multiple spatial datasets, and tools for their processing, as well as an increased acceptance of models in local collaborative decision-making environments (Klosterman, 1999; Sui, 1998; Wegener, 1994).

Increasing attention has been paid to parametric methods in recent years, partially because of its simple algorithmic logic and its flexibility of being used in different user-preference decision-making environments.