Towards a Synthesized Decision Support Methodology that Integrates Human Cognition and Data Mining
نویسندگان
چکیده
Developments in information and computing technologies have given rise to Intelligent Decision Support Systems (IDSS). The design of IDSS is largely based on data mining techniques and fuzzy logic. While decision-making is an advanced cognitive process, very little has been done in developing decision support methodologies that help integrate high level cognitive human reasoning and thinking elements within IDSS. This paper proposes a new IDSS methodology that incorporates both data mining techniques and human cognition in the process of decision-making. This proposed methodology involves a phased decision-support process. The initial phase focuses on phrasing a decision based on important criteria or conditions. The second phase involves the machine to analyse the required information from one or more large datasets. The third phase involves human cognition in making intelligent decisions based on key cognitive elements. Furthermore, the proposed methodology is tested on a large data set in the context of elderly care units in Melbourne.
منابع مشابه
Using Data Mining Models for Differential Diagnosis of Iron Deficiency Anemia and β-thalassemia Minor
Introduction: One of the most common types of anemia is Iron deficiency anemia that its main differential diagnosis is β-thalassemia minor. The rapid and accurate screening of β-thalassemia minor has particular importance for pre-marriage medical counseling and the prevention of the birth of neonates with β-thalassemia major and differentiating it from iron deficiency anemia to avoid unnecessar...
متن کاملUsing Data Mining Models for Differential Diagnosis of Iron Deficiency Anemia and β-thalassemia Minor
Introduction: One of the most common types of anemia is Iron deficiency anemia that its main differential diagnosis is β-thalassemia minor. The rapid and accurate screening of β-thalassemia minor has particular importance for pre-marriage medical counseling and the prevention of the birth of neonates with β-thalassemia major and differentiating it from iron deficiency anemia to avoid unnecessar...
متن کاملApplication of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...
متن کاملCombining data mining and case-based reasoning for intelligent decision support for pathology ordering by general practitioners
Pathology ordering by General Practitioners (GPs) is a significant contributor to rising health care costs both in Australia and worldwide. A thorough understanding of the nature and patterns of pathology utilization is an essential requirement for effective decision support for pathology ordering. In this paper a novel methodology for integrating data mining and case based reasoning for decisi...
متن کاملApplying a decision support system for accident analysis by using data mining approach: A case study on one of the Iranian manufactures
Uncertain and stochastic states have been always taken into consideration in the fields of risk management and accident, like other fields of industrial engineering, and have made decision making difficult and complicated for managers in corrective action selection and control measure approach. In this research, huge data sets of the accidents of a manufacturing and industrial unit have been st...
متن کامل