Computing Agents for Decision Support Systems

RFID-based decision support within maintenance management of urban tunnel systems

Efficiently, tracking information related to components, materials and equipment from the production/construction phase to operation and maintenance is a challenge in the industries. The industry environment is a natural fit for generating and utilizing instance-level data for decision support. Advanced electronic identification and data storage technologies e.g. radio frequency identification ...

Application 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...

RFID-based decision support within maintenance management of urban tunnel systems

Efficiently, tracking information related to components, materials and equipment from the production/construction phase to operation and maintenance is a challenge in the industries. The industry environment is a natural fit for generating and utilizing instance-level data for decision support. Advanced electronic identification and data storage technologies e.g. radio frequency identification ...

Decision support system (DSS) for site selection floodwater spreading schemes using remote sensing (RS) and geographical information systems (GIS)

COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING

This paper will introduce a new method to obtain the order weightsof the Ordered Weighted Averaging (OWA) operator. We will first show therelation between fuzzy quantifiers and neat OWA operators and then offer anew combination of them. Fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. In using neat operators,the ordering of the inputs is not...

Design of a Decision Support System for Production Scheduling with Intelligent Agents

The importance of research for rapid and automated model construction of decision support systems is prominent and recognized. In the literature, research on model construction methods has been conducted using either component-based approaches or artificial intelligent approaches; however, these methods are usually incapable of handling dynamic constrains under different situations. To obtain s...