Sta selection for the varying activities performed by enterprises requires a coherent approach, which cannot be simplistic, to the information held. The use of exible computation and the vague representation of knowledge available by means of linguistic labels allow the problem to be recognised as it is in real life. This paper is an attempt to supply a satisfactory solution to a real sta management problem with linguistic information presenting a linguistic decision model for personnel problem. For reaching a good solution, a novelty genetic algorithm with a linguistic biobjective ÿtness function is proposed.
The assignment±selection problems deal with ®nding the best one-to-one match for each of the given number of`c andidates'' to``positions''. Dierent bene®ts or costs are involved in each match and the goal is to minimise the total expense. In this paper we propose the use of verbal information for representing the vague knowledge available. Doing it, natural linguistic labels allow the problem to be recognised as it is in real life. This paper is an attempt to supply a satisfactory solution to real assignment±selection problems with verbal information and using genetic algorithms, showing the application of this model to the sta selection problem.
The traditional approach to suppliers selection based on price is simplistic because the information held for the decision making model is more complex and without precision in some tasks. There are qualitative factors that demand some judgement to determine a suppliers selection. Therefore, the linguistic representation of the of the knowledge available allows the problem to be recognised as in real life. This paper aims to supply a linguistic decision model to purchasing management problems.
The purpose of this paper is to offer managers an innovative and efficient methodology of analysis by which they can gain a more realistic perception of the environment. Hence decision making related to the selection of entry strategies will be done based on more reliable information.In order to achieve this objective, the authors consider it is relevant to set this model of analysis within the background of the internationalisation process. A practical case of study is included to demonstrate the major advantages of this model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.