Cognitive maps are widely used for representing decision makers' mental maps and their strategies. However, the cognitive map analysis is usually constrained into the static analyis and has difficulty in exploring dynamic nature of decision makers' mental map. In this paper, a simulation method of cognitve map in the discipline of system dynamics is developed and discussed. In this paper, the c...

Arising from many applications at the intersection of decision making and machine learning, Marginal Maximum A Posteriori (Marginal MAP) Problems unify the two main classes of inference, namely maximization (optimization) and marginal inference (counting), and are believed to have higher complexity than both of them. We propose XOR_MMAP, a novel approach to solve the Marginal MAP Problem, which...

As a novel multiscale geometric analysis tool, sparse representation has shown many advantages over the conventional image representation methods. However, the standard sparse representation does not take intrinsic structure and its time complexity into consideration. In this paper, a new fusion mechanism for multimodal medical images based on sparse representation and decision map is proposed ...

Jakarta is a city in Indonesia that has high population density must pay attention to its health condition. Good air quality provides positive benefits support public so they can be more productive at work and create fresh healthy air. This study uses Machine Learning classify based on certain attributes. Then, the development of prediction model time data designed produce predictive map pollut...

Medical decision support systems can provide assistance in crucial clinical judgments, particularly for inexperienced medical professionals. Fuzzy cognitive maps (FCMs) is a soft computing technique for modeling complex systems, which follows an approach similar to human reasoning and the human decision-making process. FCMs can successfully represent knowledge and human experience, introducing ...

Studies of the evolution of collective behavior consider the payoffs of individual versus social learning. We have previously proposed that the relative magnitude of social versus individual learning could be compared against the transparency of payoff, also known as the "transparency" of the decision, through a heuristic, two-dimensional map. Moving from west to east, the estimated strength of...

Modeling of large systems requires high level of expertise to properly identify and represent complex interrelationships between various elements. In addition to creation of a network of system’s elements and their relationships, very important contribution to understanding of its behavior we can get from human experts. Naturally, humans express their experience and beliefs descriptively, empha...

Valued decision diagrams (VDDs) are data structures that represent functions mapping variable-value assignments to non-negative real numbers. They prove useful to compile cost functions, utility functions, or probability distributions. While the complexity of some queries (notably optimization) and transformations (notably conditioning) on VDD languages has been known for some time, there remai...

in response to the demand for soil spatial information, the acquisition of digital auxiliary data and their matching with field soil observations is on the increase. with the harmonization of these data sets, through computer based methods, the so-called digital soil maps are increasingly being found to be as reliable as the traditional soil mapping practices, and with no prohibitive costs. the...