[PDF] Top 20 Induced generalized interval neutrosophic Shapley hybrid operators and their application in multi-attribute decision making

... the interval neutrosophic arguments, and these two operators could not consider the importance of the aggregated ...the decision-makers may want to order the arguments based on some other ... See full document

... aggregation operators, some authors established various types of information aggregation operators based on classic operators under q-ROF ...aggregation operators [33], a series of q-ROF ... See full document

... between interval neutrosphic ...valued neutrosophic sets based on distances, a matching function, membership grades, and then proposed an entropy measure for a ...and interval neutrosophic ... See full document

... the decision making phases on which the multi-attribute decision support model is based, showing the main features and the usefulness of this computerized decision support ...The ... See full document

... This paper presents rough Dice and Jaccard similarity measures between rough neutrosophic sets. Pramanik and Mondal proposed cosine similarity measure and applied for medical diagnosis. In the present paper, we ... See full document

... developed a multi-criteria decision making (MCDM) approach based on cross entropy and TOPSIS.. 43.[r] ... See full document

... under interval neutrosophic environment for solving MADM ...objective attribute weights and the combined weights, and then use MABAC method to obtain the best ...the application of proposed ... See full document

... An interval-valued intuitionistic fuzzy aggregation operator was dened, called the Induced General- ized Symmetrical Interval-Valued Intuitionistic Fuzzy Choquet-Shapley (IG-SIVIFCS) ... See full document

... that, decision or classification rules, under the premise of keeping the classification function unchanged, induced through the reduction of ...the decision maker, information incompletion, ... See full document

... Based on the application requirements of the network, reference [16] evaluates node importance from the per- spective of delay. It shows that removing the most im- portant node always results in a maximum increase ... See full document

... of attribute weights. Also we an application which show its appli- cability and ...a multi-attribute decision-making problem to demonstrate its feasibility and stability in ... See full document

... Pramanik and Mondal [29] proposed weighted fuzzy similarity measure based on tangent function and applied it to medical diagnosis. Pramanik and Mondal [30] further studied tangent similarity measure in ... See full document

... above decision model and methods are mainly based on the assumptions of \full ...and decision making can be made by selecting the maximization utility based on the expected utility ...actual ... See full document

... based method to rank TIFNs and applied it to solve MADM problems, in which the ratings of alternatives on attributes are expressed using TIFNs. Nan et al. [25] dened the ranking order relations of TIFNs and investigated ... See full document

... some generalized Einstein aggregation operators based on IVIFNs and applied them to the multi-attribute group decision making problems where attribute values are the ... See full document

... We consider a new distance in SVNNs distance, which includes weight parameter. Firstly we define some ba- sic knowledge of the SVN, which is involving TOPSIS, MABAC, and similarity measure. Secondly, we introduce these ... See full document

... Example 2. Consider the example 1, here we can not express with only two real numbers 0 and 1, we can characterized it by a membership function instead of crisp number 0 and 1, which associate with each element a real ... See full document

... In today’s competitive industrial environment everyone is looking to be cost competitive. Today companies have to take decisions in an environment in which it requires to deal with different attributes for ... See full document

... different attribute value in the overall distribution of attribute value with the same attribute in multiple attribute and comprehensive assessment ...the interval numbers ordered ... See full document

... A = e e e is the set of parameters, where e 1 stands for the parameter? color? which consists of red, green and blue, e 2 stands for the parameter? ingredient? which is made from wool, cotton and acrylic, and e 3 stands ... See full document