Manufacturing industries are facing stiff market competition, work pressures and a very competitive environment. This has forced them to be alert and take the desired decisions in order to achieve their goals. In this paper, a review study has been made on MCDM techniques in Manufacturing Industries. We found that the managers and engineers of the industries face a number of problems and situat...

The possibility for more confidential predictions, leaning on scientific methods and accomplishments of information technology leaves more time for the realization of logistic needs. Longstanding ambitions to acquire desired levels of efficiency within the system with minimal costs of resources, materials, energy and money are the features of executive structures of logistic systems. A successf...

An effective decision support system needs to deal with several heterogeneous data sources. Sometimes, the knowledge was explored without integration data sources are wrong. Also, Decision support system is weak in the reusability. To address these challenges, this paper proposes semantic enhancement on the gene expression model (genotype/phenotype system) as an Evolutionary Algorithm to be sui...

Correction After publication of this work [1], we noted that we inadvertently included the wrong version of Table two. The Charlson scores presented in the table of the published paper did not exclude heart failure (as described in the methods). Therefore all estimates of comorbidity burden are inflated by one point. While this changes the absolute values of the comorbidity burden it does not a...

Metacognitive abilities, such as knowing we know something or that we made the wrong decision, can be powerful tools for adapting behaviour and accelerating learning. Apes, dolphins, and even rats demonstrate some such abilities; a new study provides evidence that human infants can too.

Introduction The sequential use of alternative treatments for chronic conditions represents a complex, dynamic intervention pathway; previous treatment and patient characteristics affect both choice effectiveness subsequent treatments. Evidence synthesis methods that produce the least biased estimates treatment-sequencing effects are required to inform reliable clinical policy decision-making. ...