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Incompleteness and inconsistent situations are common in most rule-based decision support systems (DSS). However, most rule inference methods do not provide procedures to specifically tackle and/or analyze them. This research presents a single approach for both incompleteness and inconsistency issues with a simple yet effective method. During the rule activation step, data incompleteness and inconsistency...
Urban regeneration (DR) projects involve a crucial decision-making process that contains a great amount of quantitative and qualitative data including socio-economic processes, policies, expert judgments, stakeholders' opinions, etc. A number of authorities and research studies have used different decision support techniques including Geographic Information Systems (GIS) to approach urban planning...
Taking into account the need of handling hybrid information with uncertainty in human decision making, a new belief rule-base inference methodology (RIMER) has been recently proposed. RIMER approach and its relevant extensions have proved to be highly positive solving decision problems. However, for an end user it is difficult to implement the methods and algorithms from the raw equations in order...
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