controller design and optimization problems, with more than one objective, are referred as multiple objectives or multiple attributed problems. in this paper, a novel method is proposed for designing optimum pid controller that is called genetic multiple attributed decision making method (gmadm). this method is newer than the previous methods and in this paper some options are considered that h...

Modern practitioners use machine learning to guide their decisions in applications ranging from marketing and targeting to policy making and clinical trials. Such decisions often affect which data one gets to collect, necessitating efficient planning of experiments/trials or task assignments to human annotators. To embrace automated decision-making, it is crucial to make decisions safely and ef...

BACKGROUND Impaired decision-making capacity is a frequent complication of inpatient hospitalization, with potential negative impacts on patients and the healthcare system. Studies of clinician behavior show difficulty in diagnosis and management of capacity impairment. Appropriate management of incapacitated patients may benefit safety, medical outcomes, and healthcare expenditure. OBJECTIVE...

BACKGROUND In a medical data set, data are commonly composed of a minority (positive or abnormal) group and a majority (negative or normal) group and the cost of misclassifying a minority sample as a majority sample is highly expensive. This is the so-called imbalanced classification problem. The traditional classification functions can be seriously affected by the skewed class distribution in ...

This paper contains the research plan to develop a new simple, parsimonious algorithm to assist in the IT modernization decision making process. This algorithm will be developed based upon known, wellestablished models that exist in the area of decision making and technology acceptance.

When to make a decision is a key question in decision making problems characterized by uncertainty. In this paper we deal with decision making in environments where the information arrives dynamically. We address the tradeoff between waiting and stopping strategies. On the one hand, waiting to obtain more information reduces the uncertainty, but it comes with a cost. On the other hand, stopping...

Cultural learning represents a novel problem in that an optimal decision depends not only on intrinsic utility of the decision/behavior but also on transparency of costs and benefits, the degree of social versus individual learning, and the relative popularity of each possible choice in a population. In terms of a fitness-landscape function, this recursive relationship means that multiple equil...

The rapid technological development in the field of information and communication technology (ICT) has enabled the databases of super shops to be organized under a countrywide sales decision making network to develop intelligent business systems by generating enriched business policies. This paper presents a data mining framework for generating sales decision making information from sales data ...

this paper presents a framework for long term transmission expansion planning in competitive, electricity markets. transmission lines and phase shifters are taken into account as expansion options. maximization of the network users' benefits, with satisfying security constraints are considered as the criterion for transmission expansion planning. the elements of the objective function are the...