This work focuses on the formalization of a Fuzzy Cognitive Map based decision support system using fuzzy If-Then rules (extracted from data) accompanied with the available experts’ knowledge. The proposed approach is applied to build a Fuzzy Cognitive Map (FCM) grading tool, an advanced FCM-based model used for prediction. The FCM is a modeling methodology based on exploiting knowledge and exp...

Rule base have traditionally emphasized the verification of structural errors in the rule base. For conflicting or redundant rules, designated rules are usually followed to implement prioritized or direct deletions. However, there exist no proper methods by which to resolve conflicting or redundant rules. Due to the uncertainty of uncertain knowledge itself, it is difficult to treat conflicting...

implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. this research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. to take into account the uncertainties inherent in evaluation process, fuzzy logic i...

Numerous studies demonstrate that seemingly irrelevant factors influence people’s decisions. Perhaps the best known examples of such influence are context effects. A consumer exhibits a context effect if her choice between two alternatives systematically depends on the presence of other options. An extensive literature demonstrates context effects in laboratory settings. One of the most widely ...

Agile software development teams are self-managed; setting and complying their own rules, defining their own behaviours and encompassing a devolved decision-making structure. They rely heavily on the input of their team members for decision making. Research has indicated how ASD teams are susceptible to group process losses and coupled with traditional complexities, this produces some significa...

We review agent-based models (ABM) of human migration with respect to their decision-making rules. The most prominent behavioural theories used as decision rules are the random utility theory, as implemented in the discrete choice model, and the theory of planned behaviour. We identify the critical choices that must be made in developing an ABM, namely the modelling of decision processes and so...

An experiment with a simulated macroeconomic system demonstrates that the decision-making processes of agents can produce deterministic chaos. Subjects managed capital investment in a simple multiplier-accelerator economy. Performance, however, was systematically suboptimal. A model of the subjects' decision rule is proposed and related to prior studies of dynamic decision making. Econometric e...

The purpose of this study is to find the relationships between personal demographic attributes and long distance travel mode choices based on the Artificial Intelligence technique-rough set theory. Rough set theory can learn and refine decision rules or hidden facts from the incomplete observed data without the constraints of statistical assumptions. Also the induced decision rules are expresse...

Healthcare consumers need to find, comprehend, and interpret health information before making informed decisions. Recent work by others and our own work suggest that mis-matches in representations of health information used by consumers and professionals occur at different levels of knowledge representation, such as terminology (i.e., form or surface structure and concept or meaning) and semant...