نتایج جستجو برای: multiple attribute decision makingmadm
تعداد نتایج: 1132010 فیلتر نتایج به سال:
In this paper, we present a linguistic interval 2-tuple representation model and new linguistic interval 2tuple aggregation operators, i.e., linguistic interval 2-tuple power average (LI2TPA) operator, linguistic interval 2-tuple weighted power average (LI2TWPA) operator and linguistic interval 2-tuple power ordered weighted average (LI2TPOWA) operator. Some desired properties of the developed ...
With respect to multiple attribute decision making problems with linguistic information of attribute values and weight values, a decision analysis is proposed. Then, a method based on the ET-WA operator for multiple attribute decision making is presented. In the approach, alternative appraisal values are calculated by the aggregation of 2-tuple linguistic information. Thus, the ranking of alter...
The aim of this paper is to investigate the multiple attribute decision making problems with intuitionistic fuzzy information, in which the information about attribute weights is incompletely known, and the attribute values take the form of intuitionistic fuzzy numbers. In order to get the weight vector of the attribute, we establish an optimization model based on the basic ideal of traditional...
The purpose of this paper is to present the possibility of replacing physical unit cost in transportation or distribution problems by an aggregate coefficient, getting qualitative and subjective considerations involved. The model for constructing aggregate cost is a two stage multiple attribute decision-making problems. In the first stage supply points, demand points and routes of transportatio...
For multiple attribute group decision-making problems, in which the attribute values are triangular intuitionistic fuzzy numbers and the attribute weight information is the linguistic evaluation, a multiple attribute group decision-making method is proposed. In the method, first, to transform the 2-tuple linguistic attribute weights to the real numbers. Then, to aggregate the experts’ preferenc...
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 ...
background: one of the main challenges of healthcare systems of developing countries is health inequality. health inequality means inequality in individuals’ ability and proper functioning, resulting in inequality in social status and living conditions, which thwarts social interventions implemented by the government. objectives: this study aimed to determine and prioritize the social determina...
This paper proposes an integrated approach to determine attribute weights in the multiple attribute decision making problems. The approach makes use of the subjective information provided by a decision maker and the objective information to form a two-objective programming model. Thus the resultant attribute weights and rankings of alternatives reflect both the subjective considerations of a de...
Multi-attribute decision problems with uncertainty largely exist in the real world, it is very necessary to solve these problems. The paper proposes a grey correlation method based on maximizing deviation to solve the multiple attribute decision-making problems under risk in which the weight is unknown and attribute values are interval numbers. In the grey correlation method, according to diffe...
In this paper, we investigate the multiple attribute decision making (MADM) in uncertain linguistic setting where the information about attribute weights is incompletely known and the attribute values are uncertain linguistic variables, and the decision maker (DM) has preferences on alternatives. We establish two optimization models, which minimize deviations between the overall attribute valu...
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