The choice of suitable robots in manufacturing, to improve product quality and to increase productivity, is a complicated decision due to the increase in robot manufacturers and configurations. In this article, a novel approach is proposed to choose among alternatives, differently assessed by decision makers on different criteria, to make the final evaluation for decision-making. The approach i...

As an special intuitionistic fuzzy set defined on the real number set, triangular intuitionistic fuzzy number (TIFN) is a fundamental tool for quantifying an ill-known quantity. In order to model the decision maker's overall preference with mandatory requirements, it is necessary to develop some Bonferroni harmonic mean operators for TIFNs which can be used to effectively intergrate the informa...

Project selection is considered as an important problem in project management. It is multi-criteria in nature and is based on various quantitative and qualitative factors. The main purpose of this paper is to present a new rank-based method for project selection in outranking relation. According to this approach, decision alternatives were clustered in the concordance matrix and the discordance...

This paper investigates the multiple attribute decision making (MADM) problems with preference information on alternatives. An integrated approach is proposed to solve the MADM problems, where decision makers' subjective preference information on alternatives are given in different formats, uniformed and aggregated. The resulting social subjective preference information on the alternatives is i...

Successful language comprehension often requires comprehenders to infer contrastive focus alternatives, but the mechanisms used to establish contrastive alternatives are still poorly understood. We propose that comprehenders establish contrastive alternatives by using selection mechanisms that distinguish contrastive from non-contrastive candidates. To examine this proposal, we investigated the...

Among the various problematic addressed by the multicriteria methods of decision aid (selection, ranking, classification and description), none can be found which is focused in selecting a set of predetermined size as better than the others, considering the dynamics among the adopted criteria. This research aims at introducing and illustrating a multicriteria method which tries to solve the dou...

The selection of remedial alternatives for mine sites is a complex task because it involves multiple criteria and often with conflicting objectives. However, an existing framework used to select remedial alternatives lacks multicriteria decision analysis (MCDA) aids and does not consider uncertainty in the selection of alternatives. The objective of this paper is to improve the existing framewo...

A key challenge for Machine Translation is transfer selection, i.e. to find the right translation for a given word from a set of alternatives (1:n). This problem becomes the more important the larger the dictionary is, as the number of alternatives increases. The contribution presents a novel approach for transfer selection, called conceptual transfer, where selection is done using classifiers ...

In this paper we address the problem of nding the simulated system with the best (maximum or minimum) expected performance when the number of alternatives is nite, but large enough that ranking-and-selection procedures may require too much computation to be practical. Our approach is to use the data provided by the rst stage of sampling in a ranking-and-selection procedure to screen out alterna...