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Resource consumers and resource providers are the main infrastructures of the computational grid environment. The part that connects these components and makes this system a usable infrastructure is grid scheduler. Its role is to select the proper resource and sending its identifier to the user. It is obvious that, this process of resource selecting is a multi-criteria decision making problem, because...
Evaluating the performance of enterprise resource planning (ERP) systems is a complex task that requires consideration of many economical and technical factors. This paper proposes a method based on fuzzy analytical hierarchy process (AHP) to cope with the multicriteria decision making problems. AHP methodology is adopted for building the evaluation model based on the performance indicators of ERP...
In this paper we present a new method for solving multicriteria decision making problem in an interval-valued intuitionistic fuzzy environment. Firstly, we introduce a score function and an accuracy function for ranking the order of interval-valued intuitionistic fuzzy sets. Then, we obtain the criteria's optimal weights via a linear programming model to rank the alternatives and select the best one(s)...
Supplier selection is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In order to select the best suppliers, it is necessary to make a trade-off between these tangible and intangible factors some of which may conflict. When business volume discounts exist, this problem becomes more complicated, in these circumstances, buyer should decide about two...
In decision making problems with multiple experts as group decision making (GDM), each expert expresses his/her preferences or judgments depending on his/her own knowledge or experiences. A more realistic approach may be to use linguistic assessments instead of numerical values. Therefore, decision-makerspsila opinions are described by linguistic variables which can be expressed in different types...
Aggregation operators are often needed when building preference relations in multicriteria decision making problems. Most existing approaches have limitations due to incomparability between decisions or ties due to the use of some aggregation operations that produce a ranking. The natural way of overcoming the lack of discrimination power is to refine the obtained ranking. We bring an overview of...
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