For the aggregation problem of attributes with a correlation relationship, it is often necessary to take factor into account in order make decision results more objective and reasonable. The Heronian mean an operator which reflects interaction between attributes. It great theoretical practical significance study popularize multiple attribute decision-making methods based on operator. In this pa...

The interval neutrosophic set (INS) can be easier to express the incomplete, indeterminate and inconsistent information, and TOPSIS is one of the most commonly used and effective method for multiple attribute decision making, however, in general, it can only process the attribute values with crisp numbers. In this paper, we have extended TOPSIS to INS, and with respect to the multiple attribute...

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 entropy of intuitionistic fuzzy sets is used to indicate the degree of fuzziness of an interval-valued intuitionistic fuzzy set(IvIFS). In this paper, we deal with the entropies of IvIFS. Firstlt, we propose a family of entropies on IvIFS with a parameter λ ∈ [0, 1], which generalize two entropy measures defined independently by Zhang and Wei, for IvIFS, and then we prove that the new entro...

Abstract: One of basic principle of any organization is to assure about obtained figures from measuring products. If the measured data was not trusted, will be lead to a wrong decisions regarding the approval or rejection of products and obviously the cost would be great. First cases in measurement systems analysis which crossing minds are criteria for approval or rejection any mea...