Geographic information system technology is now being placed in the hands of decision-makers who often have little or no cartographic training. Although it is possible that these users will glean insight from the displays that they generate, map readers are able to recover more information from a carefully designed display, than from a poorly designed display. In our application, we are attempt...

The officer-in-charge deploying the security personnel to protect a large infrastructure meets a complex decision problem if multiple threats have to be handled simultaneously: Limited surveillance resources have to be optimally allocated to the many affected sectors in order to provide the safest threat state for the infrastructure as a whole over time. This contribution presents an interactiv...

We propose a multiple-criteria decision-making (MCDM) method based on Maximum A Posteriori (MAP) estimation to analyze users’ physiological status either normal or abnormal. The decision-making problem is formulated using MAP estimation and is turned out to be MCDM problem given the assumption that all probability density functions (pdfs) follow exponential forms, especially Gaussian. It indica...

The present paper is a case study on one of the old areas in the city of Ardabil with an approach of gentrification model to gentrify and rehabilitate the old urban context. Besides the library studies, this study includes local observations and questionnaires which deal with the opinions of residents on the problems and shortcomings. It also includes the ways of satisfying the residents to kee...

In the complex decision-environments that characterize e-business settings, it is important to permit decision-makers to proactively manage data quality. In this paper we propose a decision-support framework that permits decision-makers to gauge quality both in an objective (context-independent) and in a context-dependent manner. The framework is based on the information product approach and us...

We study sequential decision problems where the decision maker does not observe the states of nature, but rather receives a noisy signal, whose distribution depends on the current state and on the action that she plays. We do not assume that the decision maker considers the worst-case scenario, but rather has a response correspondence, which maps distributions over signals to subjective best re...

modeling, representation, analysis Model making and manipulation, conscious or unconscious plays a major role in all of our lives. All of us perceive the world and the day to day problems we need to solve through the filters of internal models, and for better or worse, these filters affect all aspects of our interactions and our decision making. Externalising those models, either formally or in...

This article introduces structural aspects in an ontology of approximate reason. The basic assumption in this ontology is that approximate reason is a capability of an agent. Agents are designed to classify information granules derived from sensors that respond to stimuli in the environment of an agent or received from other agents. Classification of information granules is carried out in the c...

The paper argues that a framework can be built using the story and anchor-and-adjust models which integrates research in strategic decision making, particularly cognitive biases and maps, executive team decision making, and resource allocation and acquisition decision processes. Propositions are developed focusing on the managerial implications of the story