purpose – the aim of this study is to examine relation between employees’ participation in the organizations decisions making and their psychological empowerment in iran telecommunication company subsidiary of mazanderan province. design / methodology /approach- 250 employees from the iran telecommunication company subsidiary of mazanderan province participated in this study. a spearman's cor...

decision making process requires information. accounting is the most important source of information. in 1998, the international federation of accountants issued a statement about the scope and using of accounting. it identified 4 stages for using accounting information: cost determination, planning and financial control, reduction of resources waste and creation the value. this study was desig...

In view of data mining for the decision-making of the inland waterway transportation, we study a rough set based approach to extract the decision rules with historical maritime accidents data in the inland rivers. In order to solve the NP-hard problem of attribute reduction in Rough Set Theory, the genetic algorithm based attribute reduction is proposed and described in detailed steps. Noting t...

Recent research in group cognition points towards the existence of collective cognitive competencies that transcend individual group members' cognitive competencies. Since rationality is a key cognitive competence for group decision making, and group cognition emerges from the coordination of individual cognition during social interactions, this study tests the extent to which collaborative and...

rough sets theory is a mathematical approach for analysis of a vague description of objects presented by a well-known mathematician, pawlak (1982, 1991). this paper explores the use of rough sets theory in site location investigation of buried concrete water reservoirs. making an appropriate decision in site location can always avoid unnecessary expensive costs which is very important in constr...

We demonstrate that behavioral probabilities of human decision makers share many common features with quantum probabilities. This does not imply that humans are some quantum objects, but just shows that the mathematics of quantum theory is applicable to the description of human decision making. The applicability of quantum rules for describing decision making is connected with the nontrivial pr...

The design and analysis of decision rules using detection theory and statistical learning theory is important because decision making under uncertainty is pervasive. Three perspectives on limiting the complexity of decision rules are considered in this thesis: geometric regularization, dimensionality reduction, and quantization or clustering. Controlling complexity often reduces resource usage ...

In this paper, an approach to decision making in managing human resources that integrates multi-attribute decision making techniques with expert systems is described. The approach is based on the explicit articulation of qualitative decision knowledge which is represented by a tree of attributes and decision rules. The decision making process is supported by DEXi, a specialized expert system sh...

The classical Rough Set Theory (RST) always generates too many rules, making it difficult for decision makers to choose a suitable rule. In this study, we use two processes (pre process and post process) to select suitable rules and to explore the relationship among attributes. In pre process, we propose a pruning process to select suitable rules by setting up a threshold on the support object ...