Unmanned aerial vehicles (UAVs, drones) and similar unmanned units are becoming more involved in various spheres, such as agriculture, emergency situations, battles, etc. however, decision making there still a lot they can be improved to avoid human direct involvement those problems. To advance the problem we develop tools make UAV autonomously effective makers, particularly, able analyze prope...

Decision makers’ choices are often influenced by visual background information. This study uses open-ended equity funds in Taiwan to investigate three well-known optimal portfolio models, including the mean-variance, maximin, and minimization of mean absolute deviation. The optimal portfolios are then visualized on Decision Balls to assist investors in making investment decisions. By observing ...

In assignment problems, decision makers are often interested in not only the optimal assignment, but also sensitivity of to perturbations weights. Typically, individual weights considered. We present a novel extension traditional analysis by allowing for simultaneous variations all Focusing on bottleneck problem, we provide two different methods quantifying and algorithms each. Numerical exampl...

The use of interval judgment in the analytical hierarchy process, called Interval Analytic Hierarchy Process (IAHP), has begun to grow in many decision making environments, providing an e ective means of modeling the presence of uncertainty in a decision makers judgment or representing comparisons in group decision making. Linear programming method can be used for generating weights in that sit...

Investment appraisal in advanced manufacturing technologies (AMTs) has been receiving considerable attention over the past three decades. As stated in numerous studies, traditional engineering economic methods cannot adequately justify investments in AMTs. Thus, beside these methods, some other solutions have been proposed in this field. The methods applied in the evaluation of AMTs can be clas...