Quality function deployment (QFD) is a widely-used methodology for developing a design quality aimed at satisfying the customer and translating the customer’s demand into design targets. As QFD methodology is based on the voices of customers, it requires a group of individuals, or decision makers (DMs), to express their preferences. However, there can be a bottleneck since DMs may not have a pe...

  Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain, because of the key role suppliers perform in terms of quality, costs and services which affect the outcome in the buyer’s company. Supplier selection is a multiple criteria decision making problem in which the objectives are not equa...

Decision support systems (DSS) are interactive, computer-based systems helping decision-makers (individuals and/or groups) to solve various semi-structured and unstructured problems involving multiple attributes, objectives, and goals. The majority of DSS today are either computer implementations of mathematical models (e.g. optimization algorithms) or extensions of database systems and traditi...

In this paper, a Multi-Choice Stochastic Bi-Level Programming Problem (MCSBLPP) is considered where all the parameters of constraints are followed by normal distribution. The cost coefficients of the objective functions are multi-choice types. At first, all the probabilistic constraints are transformed into deterministic constraints using stochastic programming approach. Further, a general tran...

This paper develops a new operator called the generalized ordered weighted power utility averaging (GOWPUA) operator, which first introduces the risk attitude of decision makers (DMs) in the aggregation process. We study its properties and families. To determine the GOWPUA operator weights, we put forward an orness measure of the GOWPUA operator and analyze its properties. Considering that diff...

In this paper, a new fuzzy group decision making (FGDM) model based on  -level sets, is proposed to generate, more accurate fuzzy using, risk priority numbers (RPNs) and ensure to be robust against the uncertainty. This model allows decision makers (DMs) to evaluate FMEA risk factors using linguistic terms rather than precise numerical values, allows them to express their opinions independentl...

The current study set to extend a new VIKOR method as a compromise ranking approach to solve multiple criteria decision-making (MCDM) problems through intuitionistic fuzzy analysis. Using compromise method in MCDM problems contributes to the selection of an alternative as close as possible to the positive ideal solution and far away from the negative ideal solution, concurrently. Using Atanasso...

Most forest operations are complex problems that require the weights of relevant criteria – representing trade-offs between various economic, ecological, and social aspects problem to be defined. Usually this is done by using multicriteria weighting method(s) in a group (participatory) context order include different opinions minimize risk poor individual judgments. Furthermore, decision-making...

We illustrate how an information sender may use unveri ̄able signals regarding a set of substitute products located in an alternative market to manipulate the choices made by uninformed but perfectly rational decision makers (DMs) within the veri ̄ablemarket where the information sender operates. We do so by de ̄ning an optimal information gathering structure for rational DMs who acquire informati...