[PDF] Top 20 Q rung orthopair normal fuzzy aggregation operators and their application in multi attribute decision making

... Abstract: Q-rung orthopair fuzzy set (q-ROFS) is a powerful tool to describe uncertain information in the process of subjective decision-making, but not express vast ... See full document

... The criteria are divided into three main scopes: Student’s learning environment, System, technology & standards and Tutoring & didactics. These three scopes represent the skeleton of the ... See full document

... Decision making is the study of identifying and choosing alternatives based on the values and preferences of the decision ...a decision making system with the help of intuitionistic ... See full document

... triangular fuzzy numbers, and designed the group information aggregation optimized model based on the two targets of individual evaluation value and group evaluation value, ...triangular fuzzy number ... See full document

... the attribute weight in different decision-making statuses into ...practical application, for many complicated decision making problems, decision-making information ... See full document

... for application in solving practical problems in economics, social science, medical science ...of fuzzy soft sets extended fuzzy soft set to Intuitionistic fuzzy soft ...intuitionistic ... See full document

... the fuzzy and uncertain knowledge. Its main idea is that, decision or classification rules, under the premise of keeping the classification function unchanged, induced through the reduction of ...the ... See full document

... network application require- ments is the direct target of the network ...network application re- quirements, and the influence of structural importance on network performance is ignored, it would lead to a ... See full document

... based decision support system to make ideal materials selections for roof ...methods, fuzzy analytic hierarchy process (FAHP)-technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), ... See full document

... about multi attribute decision-making (MADM) problems, decicion makers are more and more overwhelmed to make a sound de- ...such fuzzy set theory [39], intuitionistic fuzzy set ... See full document

... these operators in a variety of intelligent ...Secondly, aggregation operators have been employed in expert ...such operators have been exploited to synthesise different expert systems’ ... See full document

... the application of the new TOPSIS-MABAC model with interval neutrosophic number in multi-attribute decision-making ...objective attribute weights are determined by TOPSIS method, ... See full document

... of fuzzy set (FS) was proposed by Zadeh [1] in 1965, which can describe the grade of membership ...intuitionistic fuzzy set (IFS), which contains a non-membership function, a membership function and a ... See full document

... selection decision on the traditional price and quality criteria but also on longer term and qualitative attributes such as strategic match and evaluation of future manufacturing ...the decision ... 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

... or fuzzy concepts. An application of fuzzy soft theory is presented here in multi-criteria decision making problem using multi-observer performance evaluation along with ... See full document

... different decision-making methods for evaluation and selection of the right supplier, but most of which have been conducted in production sector with only a few works in the field of services ...a ... See full document

... and decision support ...a multi-criteria decision analysis (MCDA) tool is an appropriate tool to solve Tata Steel’s action ...simple multi-attribute rating technique ... See full document

... that decision makers face many problems with incomplete and vague information in decision making problems since the characteristics of these problems often require this kind of ...So fuzzy ... See full document

... Eulalia szmidt and Marta kookier[10] were discussed the classification of imbalanced and overlapping classes. The performance of classifier will be reduced by the imbalance and overlapping classes. Up – sampling and down ... See full document