This paper advances the claim that ignoring relevant information is sometimes consistent with good decision making. Although that finding is not new, the argument presented here is. In contrast with bounded rationality models, the decision-making model in this paper presupposes no cognitive constraints or costs associated with processing available information. The paper identifies a class of de...

OBJECTIVES This study examined decision-making competence in ADHD by using multiple decision tasks with varying demands on analytic versus affective processes. METHODS Adults with ADHD and healthy controls completed two tasks of analytic decision making, as measured by the Adult Decision-Making Competence (A-DMC) battery, and two affective decision tasks (the Balloon Analog Risk Task and the ...

In this article we propose a decision process integrating Non-Monotonic Reasoning (NMR), embedded in deliberative architecture. The NMR uses Default Logic to implement goal reasoning, managing partially observable or incomplete information, allowing the design of default behaviours completed by handling specific situations, order manage current mission objective as well safety rules. We illustr...

Abstract Decision-makers’ subjective preferences can be well modeled using preference aggregation operators and related induced weights allocation mechanisms. However, when several different types of occur in some decision environment with more complex uncertainties, repeated uses sometimes become unsuitable or less reasonable. In this work, we discuss a common where invited experts will offer ...

The paper proposes a two-phase methodology to support groups in multicriteria classification problems. The first phase, which relies on dominance-based rough set approach, takes as input a set of assignment examples, and generates as output a set of collective decision rules representing a generalized description of the preference information of the decision makers. The second phase then applie...

This paper presents the fuzzy expert system for intelligent support of decision making about cause of stone construction crack of building. The system is based on some linguistic expert expressions formalised by 9 fuzzy knowledge bases. Tuning of fuzzy rules by genetic algorithms provided a good concordance between real causes of cracks and results of decision making by the system.

Emergency decision making is still an important issue in unconventional emergency management research. Although many studies have been written on this topic, they remain political and qualitative, and it is difficult to make them operational in practice. Therefore, this article proposes a decision-theoretic rough set over two universes as an approach for solving this difficulty. The proposed ap...

Conventional data warehouses are passive. All tasks related to analysing data and making decisions must be carried out manually by analysts. Today's data warehouse and OLAP systems o er little support to automatize decision tasks that occur frequently and for which well established decision procedures are available. Such a functionality can be provided by extending the conventional data warehou...

Considering that data quality and model confidence bring threats to the of decision-making, a three-way decision with uncertain description is more meaningful in system analyses. In this paper, an advanced method for forming classification rules decisions proposed. This firstly constructs information granules describing decision-making; meanwhile, entropy introduced Granular Computing (GrC) rea...