The aim of this paper is to investigate the multiple attribute decision making problems to deal with supplier selection with intuitionistic trapezoidal fuzzy information, in which the information about attribute weights is completely known, and the attribute values take the form of intuitionistic trapezoidal fuzzy number. We developed a multiple attribute decision making method by closeness to ...

We consider a Bayesian ranking and selection problem with independent normal rewards and a correlated multivariate normal belief on the mean values of these rewards. Because this formulation of the ranking and selection problem models dependence between alternatives’ mean values, algorithms may utilize this dependence to perform efficiently even when the number of alternatives is very large. We...

Two process tracing studies investigated how the information acquisition process in a binary choice task is influenced by the overall level of attractiveness of alternatives, by the magnitude of differences in attractiveness of alternatives, and by the dominance of one alternative. All three factors influenced the subjects’ information selection process regarding the multiattribute choice alter...

W consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among several alternatives. In this problem, the marginal value of information is not concave, leading to algorithmic difficulties and apparent paradoxes. Among these paradoxes is that when there are many identical alternatives, it...

vendor selection is dominantly considered to be a multi attribute decision making (madm) problem, since the decision maker needs to evaluate suppliers simultaneously in different and even contrastive evaluation criteria. one shortcoming of madm methods is that they only compare alternatives with each other, and there is no comparison with the requirements of the buying company. a very efficient...

Plant location selection invariably has a significant impact on the performance of many companies or manufacturing systems. In this paper, a novel methodology is structured to solve this problem. The two decision making methods, namely AHP and VIKOR, are integrated in order to make the best use of information available, either implicitly or explicitly. In addition, the Delphi method is utilized...