Uncertainty reduction as a theory for fixation selection

A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty

Supplier selection is one of the influential decisions for effectiveness of purchasing and manufacturing policies under competitive conditions of the market. Regarding the fact that decision makers (DMs) consider conflicting criteria for selecting suppliers, multiple-criteria programming is a promising approach to solve the problem. This paper develops a nadir compromise programming (NCP) model...

Comparison of close reduction and percutaneous pin fixation as treatments for distal metaphyseal radius fractures

Background: Distal radius fractures are one of the most common fractures of skeletal system and because of the aging of population, its incidence is rising. The aim of the present research was to evaluate the close reduction and percutaneous pin fixation as a treatment option. Material and methods: 44 patients who were type 2 according to universal classification or type 2 or 3 according to Ol...

Generalized Aggregate Uncertainty Measure 2 for Uncertainty Evaluation of a Dezert-Smarandache Theory based Localization Problem

In this paper, Generalized Aggregated Uncertainty measure 2 (GAU2), as a newuncertainty measure, is considered to evaluate uncertainty in a localization problem in which cameras’images are used. The theory that is applied to a hierarchical structure for a decision making to combinecameras’ images is Dezert-Smarandache theory. To evaluate decisions, an analysis of uncertainty isexecuted at every...

Uncertainty-Based Noise Reduction and Term Selection in Text Categorization

Uncertainty Reduction as a Measure of Cognitive Processing Effort

The amount of cognitive effort required to process a word has been argued to depend on the word’s effect on the uncertainty about the incoming sentence, as quantified by the entropy over sentence probabilities. The current paper tests this hypothesis more thoroughly than has been done before by using recurrent neural networks for entropy-reduction estimation. A comparison between these estimate...