The knowledge levels of the teachers affect the qualifications of operations and transactions in schools. School management related knowledge of the teachers is an essential tool to reach the targets of the school. The objective of this study was to determine the school management related knowledge levels ov f the teachers. Qualitative and quantitative data collection methods were used in this ...

In this paper we introduce a methodology for knowledge base creation based on the reconciliation of multiple expert opinions using a fuzzy measure for consensus evaluation determined based on soft competitive learning. Real-life application of our methodology to the establishment of the standard of care in glaucoma monitoring illustrates its practical power. Based on a comparative analysis of e...

A new method to evaluate weights of decision makers and its application in water resource management Hojjat Mianabadi; Abbas Afshar Abstract: In a real world group decision making problem, decision makers (DMs) have different knowledge, proficiency and experiences and therefore the importance of each expert against an attribute may not be equal. In many studies this difference of knowledge and ...

AGNESS is an expert system shell developed at the University of Minnesota. AGNESS is more general than other shells. It uses a computation network to represent expert defined rules, and can handle any well-defined inference method. The system works with non-numeric as well as numeric data, and shares constructs whenever possible to achieve increased storage efficiency. AGNESS uses a menu-driven...

Blended learning (b-learning) is considered as the dominant instructional model in higher education. Herein, the study focused on the effectiveness of b-learning on a teacher training program in higher education and mainly aimed at revealing the effect of b-learning on students’ achievement, perceived cognitive flexibility levels and self-regulated learning skills and also examining the instruc...

Abstract: Categorical variables are common in spatial data analysis. Traditional analytical methods for deriving probabilities of class occurrence, such as kriging-family algorithms, have been hindered by the discrete characteristics of categorical fields. This study introduces the theoretical backgrounds of linear Bayesian updating (LBU) approach for spatial classification through expert syste...

This paper aims at providing a parameter estimation method for the machine tool reliability analysis to overcome the problem of unavailability of a well-defined failure data collection mechanism. It uses the knowledge and experience of maintenance personnel to obtain the parameters of lifetime distribution of the repairable as well as non-repairable components/ subassemblies. It is further deve...

Structural views assume that a single, comprehensive system of thought underlies cognitive activity. Although developmental research with both children and adults has tended to assume the validity of a structural model of cognitive development, this assumption may be invalid when applied to the social cognitive judgments of adults. There are two basic concerns in examining the area of social co...